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<article xmlns:xlink="http://www.w3.org/1999/xlink">
  <front>
    <journal-meta>
      <journal-title-group>
        <journal-title>D. Virovets);</journal-title>
      </journal-title-group>
    </journal-meta>
    <article-meta>
      <title-group>
        <article-title>A Framework for Decentralized Payment Instrument Integration with Artificial Intelligence, Big Data, and Digital Identities⋆</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Denis Virovets</string-name>
          <email>d.virovets@kubg.edu.ua</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Sergiy Obushnyi</string-name>
          <email>s.obushnyi@kubg.edu.ua</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Andrii Anosov</string-name>
          <email>a.anosov@kubg.edu.ua</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Ellana Molchanova</string-name>
          <email>e.molchanova@kubg.edu.ua</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Karyna Khorolska</string-name>
          <email>k.khorolska@kubg.edu.ua</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>Borys Grinchenko Kyiv Metropolitan University</institution>
          ,
          <addr-line>18/2 Bulvarno-Kudriavska str., 04053 Kyiv</addr-line>
          ,
          <country country="UA">Ukraine</country>
        </aff>
      </contrib-group>
      <pub-date>
        <year>1916</year>
      </pub-date>
      <volume>000</volume>
      <fpage>0</fpage>
      <lpage>0001</lpage>
      <abstract>
        <p>Decentralized payment instruments have emerged as a transformative financial technology, showcasing significant potential across various domains. Leveraging the flexibility of smart contracts and diverse blockchain platforms, these instruments can be tailored with unique functionalities to address the needs of different industries. The integration of decentralized payment instruments with advanced technologies, such as artificial intelligence (AI), decentralized identifiers (DIDs), big data, and social networks, unlocks new opportunities while posing distinct challenges. Owing to their digital nature, these instruments possess substantial potential for seamless incorporation into various technological ecosystems. This paper examines different forms of such integration, outlines the technological tools that facilitate it, and evaluates the associated risks and opportunities. The study underscores the growing importance of decentralized payment instruments in shaping innovative financial and technological landscapes.</p>
      </abstract>
      <kwd-group>
        <kwd>eol&gt;decentralized finance</kwd>
        <kwd>DeFi</kwd>
        <kwd>smart contracts</kwd>
        <kwd>payment systems</kwd>
        <kwd>blockchain</kwd>
        <kwd>tokenomics</kwd>
        <kwd>artificial intelligence</kwd>
        <kwd>stablecoins</kwd>
        <kwd>decentralized autonomous organization</kwd>
        <kwd>financial technology</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>1. Introduction</title>
      <p>This study aims to analyze the technological challenges and opportunities arising from the
integration of decentralized payment instruments with other information and communication
technologies. Additionally, it seeks to propose approaches for leveraging modern decentralized
payment instruments effectively.</p>
    </sec>
    <sec id="sec-2">
      <title>2. Literature review</title>
      <p>
        Decentralized finance (DeFi) represents one of the most significant advancements in blockchain
technology, gaining popularity for its ability to automate financial processes and eliminate
intermediaries. According to Messari and other research platforms, the capitalization of the DeFi
market exceeded 50 billion USD as of 2024, underscoring its growing importance in the global
financial ecosystem. At the core of DeFi lies the use of smart contracts—automated programs that
execute predefined conditions without third-party involvement. These smart contracts underpin
the creation of decentralized payment instruments, lending platforms, staking mechanisms, and
other financial services. For instance, platforms like Uniswap and Curve demonstrate the efficiency
of automated market makers (AMMs) in digital asset trading. Similarly, MakerDAO ensures the
stability of the DAI token through decentralized lending mechanisms, token collateralization,
liquidation processes, stabilization frameworks, and decentralized governance facilitated by a
DAO [
        <xref ref-type="bibr" rid="ref1">1</xref>
        ].
      </p>
      <p>
        A notable technological advancement within decentralized payment instruments is the
development of algorithmic stablecoins, which are pegged to fiat currencies or other assets. Schär
(2021) [
        <xref ref-type="bibr" rid="ref2">2</xref>
        ] explores their significance in payment systems due to reduced volatility, while Krause
(2025) [
        <xref ref-type="bibr" rid="ref3">3</xref>
        ] examines their functionality and associated risks. Furthermore, numerous studies,
including those by Mridul (2024) [
        <xref ref-type="bibr" rid="ref4">4</xref>
        ], Shumyliak [
        <xref ref-type="bibr" rid="ref5">5</xref>
        ], and Singh [
        <xref ref-type="bibr" rid="ref6">6</xref>
        ] highlight the role of smart
contracts in creating transparent and efficient payment instruments. However, DeFi systems face
several challenges, such as limited scalability, high transaction costs during peak periods (e.g., on
Ethereum), and integration difficulties with traditional financial systems. Alamsyah (2024) [
        <xref ref-type="bibr" rid="ref7">7</xref>
        ]
provides an analysis of the benefits and drawbacks of existing solutions. Blockchain technologies
fundamentally transform payment systems by removing the need for centralized transaction
processing. Nakamoto (2008) [
        <xref ref-type="bibr" rid="ref8">8</xref>
        ] first introduced the concept of a decentralized transaction system
based on cryptographic consensus.
      </p>
      <p>
        Modern blockchain-based payment platforms, such as Ethereum, Binance Smart Chain, and
TON, present unique opportunities for the development of decentralized financial services. Adams
(2017) [
        <xref ref-type="bibr" rid="ref10 ref9">9, 10</xref>
        ] focuses on the role of decentralized payments in enhancing trade efficiency, while
Harvey (2014) [
        <xref ref-type="bibr" rid="ref11">11</xref>
        ] explores the integration of smart contracts with traditional finance through
tokenized assets. Additionally, Zamani (2018) [
        <xref ref-type="bibr" rid="ref12">12</xref>
        ] emphasizes the effectiveness of sharding
technologies in achieving high performance. Despite its potential, the security of smart contracts
remains a significant concern. Research by Delmolino et al. (2016) [
        <xref ref-type="bibr" rid="ref13">13</xref>
        ] indicates that a considerable
proportion of hacking attacks target vulnerabilities in smart contracts, resulting in the loss of user
funds. Allen et al. (2022) [
        <xref ref-type="bibr" rid="ref14">14</xref>
        ] stress the necessity of adhering to legal standards to mitigate
financial crimes in decentralized payment systems. A comprehensive review of the literature
demonstrates that decentralized payment instruments when integrated with modern digital
products and technologies, possess the potential to revolutionize financial systems. However,
challenges such as scalability, security vulnerabilities, and regulatory compliance must be
addressed to fully realize this potential.
      </p>
    </sec>
    <sec id="sec-3">
      <title>3. Modern forms of programmable decentralized payment instruments</title>
      <p>
        Programmable decentralized payment instruments, based on smart contracts and peer-to-peer
systems, represent a new stage in the evolution of financial systems, offering high levels of
automation, transparency, and accessibility. The early 2020s witnessed significant growth in the
adoption of platforms for creating DeFi products (e.g., Ethereum, Binance Smart Chain, Solana),
which have opened new opportunities for both users and financial institutions [
        <xref ref-type="bibr" rid="ref15">15</xref>
        ]. One of the key
advantages of these tools is the automatic execution of predefined conditions embedded in code,
which is highly resistant to cyber threats. As of late 2024, the most popular forms of programmable
financial instruments include staking, liquidity provision through automated market makers
(AMMs), credit and debt platforms (e.g., Aave, Compound), and digital derivatives. A further
direction for DeFi development is the integration of smart contracts into various economic sectors,
ranging from real estate tokenization to automated payments within the Internet of Things (IoT).
However, challenges such as the scalability and security of smart contracts remain critical areas of
research and innovation.
      </p>
      <p>Table 1 outlines the primary financial services offered by modern decentralized financial
platforms (DeFi), highlighting their versatility and innovative nature.</p>
      <sec id="sec-3-1">
        <title>DeFi Services</title>
        <p>Lending and
Borrowing
Decentralized
Exchanges (DEX)
Staking
Yield Farming
Stablecoins
Derivatives Trading
Insurance
Asset Tokenization
Payment Networks
Prediction Markets
Fund Management
Financial Analytics</p>
      </sec>
      <sec id="sec-3-2">
        <title>Description</title>
        <p>Provide decentralized platforms for users to
lend and borrow cryptocurrencies with
algorithmic rates.</p>
      </sec>
      <sec id="sec-3-3">
        <title>Examples</title>
        <p>Aave, Compound
Allow trading of cryptocurrencies without
intermediaries, using liquidity pools instead of Uniswap, SushiSwap
order books.</p>
        <p>Enable users to lock tokens in blockchain
protocols to support network operations and
earn rewards.</p>
        <p>Incentivize liquidity provision to DeFi
protocols with high yields on deposits.</p>
        <p>Cryptocurrencies are pegged to fiat or
maintained stable through algorithms.</p>
        <p>Facilitate trading of financial derivatives like
futures, options, and swaps on decentralized
platforms.</p>
        <p>Offer decentralized insurance for risks like
smart contract vulnerabilities or hacks.</p>
        <p>Enable tokenization of real-world assets for
fractional ownership (e.g., real estate, art).</p>
        <p>Facilitate fast and low-cost payments using
blockchain and stablecoins.</p>
        <p>Platforms allow users to bet on the outcomes
of future events in a decentralized manner.</p>
        <p>Decentralized tools for managing investment
funds, including portfolio rebalancing and
yield optimization.</p>
        <p>Platforms providing analytical insights and
on-chain data for informed decision-making
in DeFi.</p>
        <p>Ethereum 2.0 Staking,
Lido
Yearn Finance,
PancakeSwap
USDT, DAI, Curve
Synthetix, dYdX
Nexus Mutual,
InsurAce
RealT, Centrifuge
Celo, RippleNet
Augur, Polymarket
Set Protocol, Enzyme
Finance
Dune Analytics,
Nansen, Glassnode
Each service is designed to automate and decentralize traditional financial processes, such as
lending, asset exchange, risk management, and investment. Decentralized financial protocols and
smart contracts ensure transparency, accessibility, and security for financial transactions. Examples
of successful implementation include platforms such as Aave, Uniswap, and Synthetix. The
integration of these services with advanced technologies, such as AI, oracles, IoT, and Big Data,
presents additional opportunities for mitigating technical risks, reducing transaction costs, and
fostering the creation of innovative financial products.</p>
        <p>
          Decentralized financial protocols, as components of decentralized infrastructures, often include
payment instruments, which play a pivotal role in the operation of their ecosystems [
          <xref ref-type="bibr" rid="ref16">16</xref>
          ]. These
tokens serve a variety of functions, including governance mechanisms, liquidity incentives,
security assurance, and fee payments. The programmable nature of tokens enables decentralized
management functionalities within the system, allowing users to vote on protocol changes, such as
updates to smart contracts, fee structures, or the introduction of new features. Examples of such
tokens include those from the UNI (Uniswap) and AAVE (Aave) projects, which facilitate
democratic decision-making within their ecosystems. Tokens also provide liquidity incentives by
rewarding participants who contribute to asset liquidity through liquidity pools, thereby enhancing
platform activity and ensuring stability. For instance, the CRV token (Curve) is used as a reward for
liquidity providers, while SUSHI (SushiSwap) allows token holders to receive a portion of
transaction revenue through a programmable long-term holding incentive model. Additionally,
tokens can act as collateral within protocols through staking mechanisms (e.g., LDO for Lido or
SNX for Synthetix), enhancing the overall security of the network and creating further incentives
for users. A significant portion of DeFi tokens also functions as tools for distributing fees generated
within the ecosystem. Moreover, token models, when combined with legal frameworks, can
represent the value of real or virtual assets, such as tokenized real estate or bond models, thereby
providing liquidity and access to highly liquid markets.
4. Decentralized payment instruments in information technologies
The growing popularity of decentralized payment instruments has spurred efforts to integrate
them with information technologies, such as social networks and data management systems,
creating unique interaction models. Platforms like Rally, Meme.com, Chiliz, and Pump.fun utilize
social tokens, often referred to as fan tokens or meme tokens, which serve to stimulate community
engagement and facilitate speculation on the popularity of token issuers or emotionally charged
events. For example, the Rally platform enables influencers and brands to create their social tokens,
which users can utilize to access exclusive content or events. Similarly, Chiliz issues fan tokens for
sports clubs, allowing fans to participate in club decisions and receive exclusive rewards. These
platforms frequently integrate with services like Twitch, Discord, and TikTok, offering innovative
opportunities for monetizing community activity. These trends have also led to the emergence of
platforms like Friend.tech and DeSo (Decentralized Social), which enable users to monetize their
online presence by purchasing unique tokens or keys associated with social media profiles [
          <xref ref-type="bibr" rid="ref17">17</xref>
          ].
Such platforms combine reward systems with DeFi mechanisms to foster active participation
within their ecosystems thereby facilitating the development of decentralized social media
platforms. By integrating programmable tokens with social networks, these platforms expand
opportunities for communities, creating new monetization models and enhancing engagement. The
table below provides a concise overview of these platforms.
        </p>
        <p>
          One example of reputation monetization through DeFi technologies is the $TRUMP token, a meme
token issued on the Solana blockchain that capitalizes on the popularity of Donald Trump’s brand
to attract capital and attention from the cryptocurrency community. The primary functions of the
token include generating speculative value, fostering community engagement through meme
culture, and associating it with a political brand. While the $TRUMP token offers limited real-world
utility and functionality, it serves as a tool for financial speculation, symbolic support for the
Trump brand, and raising awareness of novel approaches to tokenization within a political context
[
          <xref ref-type="bibr" rid="ref18">18</xref>
          ]. However, the centralized ownership structure of the token raises concerns regarding potential
market manipulation.
5. Decentralized payment instruments in personal data management
systems
Programmable tokens play a significant role in modern approaches to personal data management,
offering new opportunities for data protection, access control, and monetization [
          <xref ref-type="bibr" rid="ref19">19</xref>
          ]. One of their
key advantages lies in enhancing data privacy and security through the use of tokens as unique
identifiers. In this context, tokenization replaces sensitive information with anonymous markers,
minimizing the risk of data breaches and unauthorized access. For instance, in medical systems,
tokens can protect patient information by concealing real data within encrypted databases. Beyond
protection, these tokens serve as an effective mechanism for managing access to personal data.
Through integration with smart contracts, users can grant or restrict access to their data while
retaining full control over who accesses it and under what conditions. Such approaches form the
foundation of decentralized identity protocols (DIDs), such as SelfKey and uPort, where tokens act
        </p>
      </sec>
      <sec id="sec-3-4">
        <title>Ocean</title>
      </sec>
      <sec id="sec-3-5">
        <title>Protocol</title>
      </sec>
      <sec id="sec-3-6">
        <title>Brave</title>
      </sec>
      <sec id="sec-3-7">
        <title>Browser</title>
      </sec>
      <sec id="sec-3-8">
        <title>SelfKey</title>
      </sec>
      <sec id="sec-3-9">
        <title>Dock</title>
      </sec>
      <sec id="sec-3-10">
        <title>Civic</title>
      </sec>
      <sec id="sec-3-11">
        <title>Bloom</title>
        <p>OCEAN</p>
        <p>BAT</p>
        <p>KEY
DOCK
CVC
BLT</p>
        <p>Integrations with</p>
        <p>Other Systems
DeFi protocols, Data
Marketplaces
Advertisers, Payment
Systems (Uphold)
ID managers, KYC
Platforms
DID protocols, Data
verification services
Business applications,
ID managers
Credit services, ID
managers</p>
        <p>Short Description
A decentralized platform for data
monetization, enabling users to share
and sell their data while retaining
control.</p>
        <p>A platform for viewing ads where
users earn BAT tokens for interacting
with content.</p>
        <p>A decentralized identity protocol that
allows users to store, control, and
share their data securely.</p>
        <p>A system for managing digital
certificates and identities with a
focus on transparency and security.</p>
        <p>A platform for identity verification
that simplifies authentication
processes through secure digital
identities.</p>
        <p>A system for managing credit history
and identity with an emphasis on
personal data protection.
as core elements for authentication and permission management. This enables users to effectively
manage their digital identities amid the growing significance of data in the digital economy.</p>
        <p>
          Another critical function of tokens is to incentivize users by enabling the monetization of their
data. Platforms like Ocean Protocol and Brave Browser allow users to receive compensation for
sharing their data or viewing advertising content. These mechanisms foster active user
participation in the digital economy, where data is becoming an increasingly valuable asset. In this
way, tokens not only enhance the protection and management of personal data but also facilitate
its integration into new models of transparent and secure interactions within digital
ecosystems [
          <xref ref-type="bibr" rid="ref20">20</xref>
          ].
        </p>
      </sec>
    </sec>
    <sec id="sec-4">
      <title>6. Decentralized payment instruments in the governance of decentralized systems</title>
      <p>
        Tokens play a pivotal role in enabling decentralized governance of projects, particularly within
decentralized autonomous organizations (DAOs) and the DeFi protocols used to establish them. In
such systems, tokens function as voting mechanisms, empowering community members to
participate in decision-making processes without relying on centralized governance structures [
        <xref ref-type="bibr" rid="ref21">21</xref>
        ].
For instance, Uniswap’s UNI token facilitates voting on protocol changes, such as the introduction
of new features or the definition of economic parameters like reward distribution across liquidity
pools. Similarly, some DAOs employing DeFi protocols incentivize participation through rewards
for voting or contributing liquidity, further encouraging community engagement. The table below
outlines examples of DAOs and the characteristics of the tokens utilized within them. These
financial and managerial solutions provide a robust decentralized governance mechanism that
integrates economic interests, collective decision-making, and technological transparency. This
approach establishes new organizational standards within the digital economy.
      </p>
      <p>DAO Characteristics</p>
      <p>Governance token enabling
voting on protocol updates,
fee structures, and liquidity
incentives.</p>
      <p>Governance token used for
voting on system parameters
and ensuring stability of the
DAI stablecoin.</p>
      <p>Governance token allows
users to vote on protocol
changes and distribution of
reserves.</p>
      <p>Tokens are used for
governance, staking to secure
liquidity, and earning
rewards.</p>
      <p>Governance and staking
tokens are used to vote on
liquidity pool rewards and
protocol improvements.</p>
      <p>Governance tokens provide
voting rights and enable
holders to earn a share of
platform fees via staking.</p>
      <p>Highly limited governance
token allowing holders to
propose and vote on system
updates and fee models.</p>
      <p>NFTs act as membership
passes, granting access to
DAO resources, events, and
decision-making processes.</p>
      <p>Governance token enabling
participation in decisions
about Aragon’s development
and ecosystem support.</p>
      <p>Governance tokens are used
to vote on fund allocation and
community-driven decisions.</p>
      <p>
        The integration of tokens with GameFi and metaverses represents one of the key components of
the modern digital economy, offering significant opportunities for asset monetization and player
participation. The programmable nature of tokens is fully realized in this context, enabling their
use for a wide range of purposes—from serving as currency or assets to fostering player
involvement in DAOs and staking models. GameFi and metaverses are often referred to as
fullfledged decentralized economies that attract millions of players, shaping the future of digital
interaction [
        <xref ref-type="bibr" rid="ref22">22</xref>
        ]. These environments frequently serve as testing grounds for new token models,
which are later applied in real-world contexts. For instance, gaming platforms like Axie Infinity
and The Sandbox enable players to participate in gameplay while simultaneously earning economic
rewards through the Play-to-Earn model by completing tasks or competing in challenges [
        <xref ref-type="bibr" rid="ref23">23</xref>
        ].
Additionally, NFTs integrated with tokens offer players unique ownership of assets such as
characters, land plots, or exclusive items. These assets can be transferred across platforms, traded,
or utilized in decentralized governance, contributing to the development of game economies. The
table below highlights major GameFi and metaverse platforms, illustrating the pivotal roles tokens
play in governance, economic systems, and functionality.
      </p>
      <p>Used as in-game currency, for
governance in DAO, and for
buying land and assets.</p>
      <p>AXS for governance and
staking; SLP for earning
through gameplay and
breeding Axies.</p>
      <p>Used to purchase virtual land
and items, and to vote in
governance decisions via DAO.</p>
      <p>ATLAS for in-game
transactions; POLIS for
governance and
decisionmaking in the ecosystem.</p>
      <p>Used for staking rewards,
governance, and in-game
transactions.</p>
      <p>Used to purchase in-game
items and participate in
ecosystem governance.</p>
      <p>Used to craft cards, participate
in governance, and earn
gameplay rewards.</p>
      <sec id="sec-4-1">
        <title>My Neighbor</title>
      </sec>
      <sec id="sec-4-2">
        <title>Alice</title>
      </sec>
      <sec id="sec-4-3">
        <title>Enjin</title>
        <p>ENJ</p>
      </sec>
      <sec id="sec-4-4">
        <title>MetaHero</title>
        <p>HERO</p>
        <p>A multiplayer builder game
where players create and
manage virtual land.</p>
        <p>Used for in-game purchases,
land transactions, and
governance in the ecosystem.</p>
        <p>A platform for tokenizing in- Backs the value of NFT assets
game items and integrating and facilitates cross-platform
them into various games. item portability.</p>
        <p>A platform focused on
creating high-definition 3D
avatars and digital assets for
use in games.</p>
        <p>Used for purchasing 3D
scanning services and
participating in the
ecosystem’s economy.
7. Application of decentralized payment instruments in AI, IoT, and</p>
      </sec>
    </sec>
    <sec id="sec-5">
      <title>Big Data—based products</title>
      <p>
        Tokens are becoming a vital tool in various services through their integration with modern
technologies such as the Internet of Things (IoT), decentralized artificial intelligence (DeAI) [
        <xref ref-type="bibr" rid="ref24">24</xref>
        ],
big data, and others. They create innovative models, automate processes, provide transparency, and
incentivize participant engagement. In the IoT context, tokens are emerging as systemic payment
tools to facilitate data transfer between devices [
        <xref ref-type="bibr" rid="ref25">25</xref>
        ]. Projects like Helium (HNT) utilize tokens to
build decentralized IoT networks, where participants earn rewards by contributing their devices or
infrastructure. Similarly, IOTA (MIOTA) enables micropayments between IoT devices, promoting
autonomous interaction. The integration of tokens with AI technologies unlocks new opportunities
for decentralized platform development. For example, the SingularityNET (AGIX) project offers an
AI services marketplace where tokens are used to pay for access to algorithms or analytics. It also
incentivizes AI developers to earn rewards for their contributions while providing users access to
necessary tools. Fetch.ai (FET) incorporates tokens to support autonomous AI agents, facilitating
transactions and optimizing interactions among ecosystem participants [
        <xref ref-type="bibr" rid="ref26">26</xref>
        ].
      </p>
      <p>
        In the field of Big Data, tokens empower users to monetize their data while maintaining control
over its usage. Ocean Protocol (OCEAN) provides a data exchange platform where users earn
tokens for sharing or granting access to their data. This establishes a transparent ecosystem where
data becomes a valuable asset, tracked via blockchain records, and incentivizes developers to create
algorithms for analyzing large datasets. In computing systems such as Theta (THETA), tokens
incentivize the provision of resources like computing power or storage. These integrations not only
enhance efficiency and decentralization but also create an economic model where all participants
benefit [
        <xref ref-type="bibr" rid="ref27">27</xref>
        ]. The table below provides a detailed overview of token integration across various
technologies, highlighting the diverse functions tokens serve within these ecosystems.
      </p>
      <p>Incentivizes users to provide wireless
network infrastructure and rewards
for device connectivity.</p>
      <p>Facilitates fee-free microtransactions
between IoT devices for seamless data
and value transfer.</p>
      <p>Enables monetization of real-time data
streams between devices and users.
Big Data</p>
      <p>Big Data
Decentralized Identity</p>
      <p>(DID)
Supply Chain
Management
Supply Chain</p>
      <p>Management
THETA</p>
      <p>Edge Computing</p>
      <p>Powers a decentralized marketplace
for AI services, paying for algorithm
access and development.</p>
      <p>Supports autonomous agents in
performing economic transactions and
automating workflows.</p>
      <p>Provides a medium of exchange for
buying and selling data on a
decentralized marketplace.</p>
      <p>Rewards users for sharing personal
data while maintaining control over
their data privacy.</p>
      <p>Incentivizes users to share their
bandwidth and computational
resources for decentralized video
streaming.</p>
      <p>Allows users to control access to their
personal identity data and facilitates
secure authentication.</p>
      <p>Tracks goods along the supply chain
and ensures transparency with
tokenized rewards for participants.</p>
      <p>Provides traceability of goods and
incentivizes data sharing across the
supply chain.</p>
      <sec id="sec-5-1">
        <title>SingularityN ET</title>
      </sec>
      <sec id="sec-5-2">
        <title>Fetch.ai</title>
        <p>FET
OCEAN</p>
        <p>DAT
KEY
VET
TRAC
GTC</p>
        <p>Open Source Facilitates funding for open-source
Development (Big Data) projects and rewards contributors in a
decentralized ecosystem.</p>
        <p>In summary, tokens developed using decentralized protocols and smart contracts possess
significant potential to fulfill a wide range of functions, spanning both public and commercial
applications. In the public sphere, tokens enhance transparency, efficiency, and inclusiveness in
resource management. For example, they can be utilized to monitor the spending of charitable
organizations or government projects, providing the public with real-time insights into the
allocation and use of funds. Furthermore, tokens can be effectively deployed in social incentive
programs, such as promoting participation in environmental initiatives or volunteering efforts.</p>
      </sec>
    </sec>
    <sec id="sec-6">
      <title>8. Security and testing technologies for decentralized payment instruments</title>
      <p>
        The integration of decentralized payment instruments with modern technologies opens new
opportunities for financial innovation but simultaneously introduces several risks, particularly
vulnerabilities in smart contracts and associated systems. Ensuring the security and resilience of
decentralized systems necessitates the use of specialized tools and approaches aimed at identifying,
preventing, and mitigating potential threats [
        <xref ref-type="bibr" rid="ref28">28</xref>
        ]. The security of smart contracts and decentralized
protocols, which serve as the foundation of decentralized payment instruments, is critically
important for ensuring system reliability. Specialized tools such as MythX, Slither, and Echidna,
used for static and dynamic analysis of smart contracts, enable the identification of potential
vulnerabilities, including reentrancy attacks, numerical overflows, and improper access control. For
more sophisticated systems with complex networks of smart contracts, analytical platforms like
Certik and OpenZeppelin Defender provide automated auditing combined with expert evaluation
to ensure comprehensive protection. Certik utilizes formal verification methods to conduct
mathematically proven security analyses of smart contract code, while OpenZeppelin Defender
offers ready-made secure code templates and integrated testing frameworks. Additionally, Certik
employs artificial intelligence (AI) technologies to detect anomalies in smart contract operations,
analyze transactions, and predict risks. These services integrate with cloud platforms to provide
convenient access to analytics and audit results. Machine learning further enhances the analysis
through continuous data collection from real-world usage scenarios. To integrate external data and
connect with broader ecosystems, these services utilize decentralized oracles, such as Chainlink,
which facilitate the transmission of data to smart contracts for functionality verification. The
LLMSmartAudit [
        <xref ref-type="bibr" rid="ref29">29</xref>
        ] technology also appears promising, leveraging the advanced capabilities of large
language models (LLMs) as an innovative approach to vulnerability analysis and detection. Its
primary advantage lies in its ability to handle complex logical vulnerabilities often overlooked by
traditional tools. The use of a multi-component system with agents interacting within a multi-level
audit represents an innovative step, enhancing process efficiency. Another innovative approach
involves an n-gram language model for detecting semantic contexts, which employs three different
tokenization standards and demonstrates impressive accuracy in experimental results [
        <xref ref-type="bibr" rid="ref30">30</xref>
        ].
      </p>
      <p>
        Smart contract testing is a critical stage in the development of decentralized payment
instruments. Modern frameworks and tools are employed to verify their functionality, security, and
compliance with business logic. One of the most widely used tools is Hardhat, which provides a
local environment for testing and debugging contracts. Hardhat enables the creation of stress test
scenarios, simulation of contract behavior under varying conditions, and quick detection of logical
errors. The tool integrates seamlessly with the Ethers.js platform to simplify interaction with the
blockchain, ensuring efficient testing before deploying contracts on a live network. Another tool,
Ganache, facilitates the testing process by providing an environment for simulating the operation
of smart contracts in real blockchain conditions, allowing developers to identify potential
vulnerabilities during the development stage. The Echidna tool offers automated test generation to
verify the security of contracts when interacting with other components of the ecosystem [
        <xref ref-type="bibr" rid="ref31">31</xref>
        ].
Additionally, some developers propose the use of sidechains as platforms for auditing smart
contracts [
        <xref ref-type="bibr" rid="ref32">32</xref>
        ]. The table below outlines security, technology risk management, and testing
services, along with their characteristics for working with decentralized payment instruments.
      </p>
      <sec id="sec-6-1">
        <title>Slither</title>
      </sec>
      <sec id="sec-6-2">
        <title>Echidna</title>
      </sec>
      <sec id="sec-6-3">
        <title>Chainalysis</title>
      </sec>
      <sec id="sec-6-4">
        <title>Elliptic</title>
      </sec>
      <sec id="sec-6-5">
        <title>Hardhat</title>
      </sec>
      <sec id="sec-6-6">
        <title>Ganache</title>
      </sec>
      <sec id="sec-6-7">
        <title>Chainlink</title>
      </sec>
      <sec id="sec-6-8">
        <title>DSCAPS</title>
        <p>Tool for smart
contract analysis and
optimization
Framework for
security testing of
smart contracts
Transaction and risk
monitoring
Blockchain risk
management
Framework for
developing and
testing smart
contracts
Local blockchain
network for testing
Decentralized oracle
for external data
Decentralized smart
contract auditing
platform based on
sidechain</p>
      </sec>
      <sec id="sec-6-9">
        <title>ImmuneFi</title>
        <p>Bug bounty platform
Quick vulnerability
detection
Code quality analysis
Performance reports
Test generation for
verification
Detecting anomalies in
contract behavior
Suspicious transaction
detection
Monitoring financial flows
Regulatory compliance
support
Wallet behavior analysis
Fraud probability
assessment
Integration with external
databases
Organizing bounty
programs
Collaboration with ethical
hackers
Identifying critical
vulnerabilities
Local testing environment
Debugging
Creating scenarios for
stress tests
Isolated environment
Fast transaction debugging
Analyzing contract
behavior
Reliable data exchange
between blockchain and
external sources
Protection against data
manipulation
Leverages two-way peg
sidechain technology
Encourages collaborative
audits
Submarine commitments
Incentive and punishment
mechanisms
Optimizing contract
performance before
deployment
Ensuring smart
contracts align with
business logic
Analyzing crypto
flows to detect fraud
Identifying risky
wallets in DeFi
networks
Preventing attacks by
involving third-party
experts
Testing smart
contracts before
deploying on the main
network
Simulating smart
contract behavior
under real-world
conditions
Providing data for
DeFi protocols, such
as asset prices or
weather data
Auditing smart
contracts
predeployment with
distributed miners and
users to detect
vulnerabilities and
ensure contract
security efficiently</p>
      </sec>
    </sec>
    <sec id="sec-7">
      <title>9. Tools for technological integration of decentralized payment instruments with modern technologies</title>
      <p>The functionality of tokens and their integration with modern digital technologies are founded on
decentralized protocols and smart contracts, which automate transactions and facilitate
interactions between participants. In the context of the Internet of Things (IoT), tokens are utilized
to automate micropayments between devices for data or resource exchanges, ensuring efficient,
secure, and autonomous interactions through smart contract structures or token protocols. A
crucial component of a smart contract is its device identification mechanism, which authenticates
transaction participants. Each device is assigned a unique cryptographic identifier to establish trust.
Additionally, the smart contract defines parameters for resource exchange, including data volume,
service type, and transaction costs. For instance, in the Helium project, devices that provide
network access are rewarded with HNT tokens based on their contributions to the infrastructure.</p>
      <p>
        Another essential aspect of token integration with technologies is the mechanism for resource
accounting and automatic payment execution. Smart contracts must register resource usage and
automatically debit tokens from users’ accounts to compensate service providers. This ensures
complete autonomy for devices in conducting transactions. Data security and confidentiality are
achieved through encryption and decentralized protocol methods, such as Zero-Knowledge Proofs
[
        <xref ref-type="bibr" rid="ref33">33</xref>
        ]. The integration of tokens with modern technologies relies on advanced tools, methods, and
functionalities to ensure their versatility, efficiency, and adaptability across diverse ecosystems.
Smart contracts are among the primary tools, automating transaction execution and enabling
tokens to meet predefined conditions, thereby maintaining process continuity. Token integration
methodologies include standardization and the use of APIs and SDKs (Software Development Kits),
which simplify token implementation in applications and technologies [
        <xref ref-type="bibr" rid="ref34">34</xref>
        ]. Ethereum-based
payment token standards, such as ERC-20, ERC-777, ERC-721, and ERC-1155 (for combined
payment instruments), facilitate seamless interactions between tokens, platforms, and services.
      </p>
      <p>Token functions, such as enabling access to big data, incentivizing participant activity, and
providing computational power, further integrate tokens with modern technologies. APIs
(Application Programming Interfaces) act as bridges between blockchain protocols and external
applications, simplifying access to token functionalities and retrieving information about tokens’
technical and economic characteristics. For instance, APIs like those from Etherscan provide
realtime data on token metrics, including capitalization and transaction volumes, while Infura
streamlines access to smart contracts for seamless integration. These tools enable tokens to interact
with analytical platforms, IoT devices, AI systems, and Big Data solutions without requiring
complex development processes.</p>
      <p>Given the diversity of token functionalities, tokens can be classified based on their risks,
functionalities, and complexities, enabling an effective assessment of their role within digital
ecosystems. Risk analysis involves identifying key threats that could impact the token’s stability
and its trustworthiness among users. Specifically, volatility risks are linked to the speculative
nature of certain tokens that lack a stable connection to real assets. Centralization risks arise when
token management is concentrated within a narrow group of organizations, diminishing trust in
the project. Additionally, security risks represent one of the most significant threats, as vulnerable
smart contracts can become targets for hacker attacks, causing harm to both users and the broader
ecosystem. The functionality of tokens determines their primary role within the system, allowing
them to be categorized into several groups, which are outlined in the table below.
High volatility,
regulatory risks
Market adoption,
lack of demand
Regulatory
compliance, legal
risks
Pegging risks,
algorithmic
failure
Low liquidity,
governance
attacks
Market
speculation, low
utility</p>
      <p>Functionality
Medium:
Exchange of
value, payments
Medium: Access
to platform
services
High: Represents
ownership or
investment
Medium: Stable
value for
transactions
High: Voting and
governance in
DAOs
Medium: Digital
ownership and
collectibles
Technical risks,
reliance on
collateral chains</p>
      <p>High: Bridging
assets across
blockchains</p>
      <p>Token Type</p>
      <p>Risks</p>
      <p>Complexity
The scheme below illustrates the current complexity of integrating tokens with technologies. It
highlights key components necessary for integrating tokens with financial systems and modern
technologies, as analyzed above, showcasing the versatility and adaptability of tokens for
integration within innovative technologies in a decentralized economy.</p>
      <p>
        This scheme illustrates the logic behind integrating tokens as decentralized payment
instruments with modern technological products to form a comprehensive ecosystem. At the core
of this process is a tokenization platform that facilitates the creation, management, and destruction
of tokens (mint/burn tokens), enabling their integration with traditional funds, DAOs, and other
participants. The primary issuance of tokens (Primary Token Issuance) lays the groundwork for
their utilization in secondary markets, including exchanges and OTC platforms, establishing an
infrastructure for financial interactions. All operations are supported by identity verification
processes (KYC), ensuring compliance with regulatory requirements and security for all
participants.
The further advancement of token integration relies on modern technologies such as artificial
intelligence (AI-Powered Analytics Platforms), which optimize asset management; IoT networks,
which enable efficient data collection and exchange; and Big Data, which enhances
decisionmaking accuracy through advanced analytics. Additionally, the incorporation of tokens into the
metaverse (GameFi/Metaverse Interaction) facilitates interactions between virtual assets and real
economic processes through technological interoperability layers, which in some cases correspond
to Layer 2 solutions in cryptocurrency architectures [
        <xref ref-type="bibr" rid="ref35">35</xref>
        ]. Blockchain technologies provide the
foundation for decentralization and transparency across all financial transactions, fostering the
development of infrastructure where tokens serve as a universal tool for modeling new forms of
ownership, asset exchange, and the growth of the digital economy.
      </p>
      <p>The integration of decentralized payment instruments with modern technologies requires
specialized tools that provide essential functionality and meet technical requirements. The table
categorizes these tools into key technical areas, clearly outlining their role in the development of
innovative applications. The foundation of most DeFi solutions lies in platforms for smart
contracts, which serve as core infrastructure. Ethereum, Polygon, and Ton Blockchain deliver high
levels of decentralization, scalability, and support for tokenized assets. Additionally, oracles such as
Chainlink and Band Protocol play a critical role in transferring external data, bridging the gap
between the real world and the blockchain. For instance, platforms like IoTeX and IOTA offer
mechanisms to automate transactions between IoT devices, enabling the development of
micropayments and integrated smart contracts. Analytical tools such as The Graph and Covalent
facilitate the collection, processing, and analysis of large datasets, enhancing liquidity management
and risk mitigation in DeFi. The integration of artificial intelligence, represented by platforms like
OpenAI API and SingularityNET, introduces automation in trading, lending, and forecasting
market conditions, thereby expanding the horizons of financial innovation. The table below
provides an overview of several tools for integrating DeFi with modern technologies.
Provide the basic infrastructure for developing
smart contracts, high decentralization, support for
tokens, and DeFi applications.</p>
      <p>Enable integration of data from external sources
(IoT, Big Data) into blockchain for use in DeFi.</p>
      <p>Collect, index, and analyze large volumes of data
for use in DeFi applications (liquidity, markets,
trends).</p>
      <p>Connect IoT devices to blockchain, support
microtransactions between devices, and enable
smart contracts for automation.</p>
      <p>Used for forecasting, optimization, credit scoring,
and risk management in DeFi.</p>
      <p>Tools for developing, testing, and deploying smart
contracts and integrating DeFi into various
applications (Web3, IoT, metaverse).</p>
      <p>Decentraland SDK,
Sandbox Game Maker,
Enjin, Aavegotchi</p>
      <p>Tools for creating virtual economies and working
with digital assets (NFTs, tokens, DAOs) in
metaverses.</p>
      <p>Uniswap SDK,
Balancer, Gnosis Safe
Filecoin, Arweave
Uniswap, Sushiswap,
PancakeSwap</p>
      <p>Support for creating and managing tokens,
liquidity pools, automated market makers
(AMMs), and DeFi DAOs.</p>
      <p>Provide decentralized data storage for DeFi
solutions, NFTs, metaverses, and Big Data.</p>
      <p>Protocols for decentralized token exchange,
enabling automated token trading integration into
various services (metaverse, IoT, Web3).</p>
      <p>Another promising area is the integration with metaverses and NFTs. Tools such as Decentraland
SDK and Enjin support the creation of virtual economies utilizing tokenized assets, which are
increasingly integrated into DeFi. Metaverses are becoming platforms for decentralized exchanges,
digital asset management, and economic models based on DAOs. The development of token
management tools (e.g., Uniswap SDK, Balancer) and decentralized data storage protocols (e.g.,
Filecoin, Arweave) ensures a stable and scalable foundation for the adoption of innovations. This
synthesis of DeFi and cutting-edge technologies forms the basis for creating new business models
and transforming the financial ecosystem.</p>
    </sec>
    <sec id="sec-8">
      <title>Conclusions</title>
      <p>The integration of decentralized payment instruments with modern digital technologies, such as
artificial intelligence, social networks, the Internet of Things (IoT), big data, and the metaverse, is
reshaping traditional financial systems by introducing new models of automation, transparency,
and accessibility. The use of artificial intelligence for risk prediction and liquidity optimization, IoT
for dynamic interaction between physical devices and the blockchain, and decentralized identifiers
(DID) for data protection and secure authentication significantly enhances the efficiency of
financial processes. These advancements lay the foundation for a digital asset economy, unlocking
opportunities for innovation in ownership, trade, and asset management. The potential for further
development of such integration includes the creation of scalable solutions, deeper interaction
between technologies and the real sector, and enhanced regulatory interoperability. These
advancements will enable the establishment of decentralized ecosystems with global reach, offering
extensive opportunities for businesses and society as a whole.</p>
      <p>Declaration on Generative AI
While preparing this work, the authors used the AI programs Grammarly Pro to correct text
grammar and Strike Plagiarism to search for possible plagiarism. After using this tool, the authors
reviewed and edited the content as needed and took full responsibility for the publication’s content.</p>
    </sec>
  </body>
  <back>
    <ref-list>
      <ref id="ref1">
        <mixed-citation>
          <article-title>[1] MakerDAO, The Dai stablecoin system</article-title>
          ,
          <year>2017</year>
          . URL: https://makerdao.com/whitepaper/ DaiDec17WP.pdf
        </mixed-citation>
      </ref>
      <ref id="ref2">
        <mixed-citation>
          [2]
          <string-name>
            <given-names>F.</given-names>
             
            <surname>Schär</surname>
          </string-name>
          , Decentralized finance:
          <article-title>On blockchain- and smart contract-based financial markets</article-title>
          ,
          <source>SSRN</source>
          ,
          <year>2021</year>
          . doi:
          <volume>10</volume>
          .2139/ssrn.3571335
        </mixed-citation>
      </ref>
      <ref id="ref3">
        <mixed-citation>
          [3]
          <string-name>
            <surname>D.</surname>
          </string-name>
           Krause,
          <article-title>Algorithmic stablecoins: Mechanisms, risks, and lessons from the fall of TerraUSD</article-title>
          , Marquette University,
          <year>2025</year>
          .
          <source>doi:10.13140/RG.2.2.26719.16806</source>
        </mixed-citation>
      </ref>
      <ref id="ref4">
        <mixed-citation>
          [4]
          <string-name>
            <given-names>M.</given-names>
             
            <surname>Mridul</surname>
          </string-name>
          , et al.,
          <article-title>Smart contracts, smarter payments: Innovating cross border payments and reporting transactions</article-title>
          ,
          <year>2024</year>
          . doi:
          <volume>10</volume>
          .48550/arXiv.2407.19283
        </mixed-citation>
      </ref>
      <ref id="ref5">
        <mixed-citation>
          [5]
          <string-name>
            <given-names>L.</given-names>
             
            <surname>Shumyliaka</surname>
          </string-name>
          , et al.,
          <article-title>Practical implementation of smart contracts for payment of digital goods</article-title>
          ,
          <source>in: 4th International Workshop on Intelligent Information Technologies and Systems of Information Security</source>
          , vol.
          <volume>3373</volume>
          ,
          <year>2023</year>
          .
        </mixed-citation>
      </ref>
      <ref id="ref6">
        <mixed-citation>
          [6]
          <string-name>
            <surname>J. Singh</surname>
          </string-name>
          ,
          <article-title>Programmable payments &amp; smart contracts</article-title>
          ,
          <source>SSRN</source>
          ,
          <year>2022</year>
          . doi:
          <volume>10</volume>
          .2139/ssrn.4215442
        </mixed-citation>
      </ref>
      <ref id="ref7">
        <mixed-citation>
          [7]
          <string-name>
            <given-names>A.</given-names>
             
            <surname>Alamsyah</surname>
          </string-name>
          ,
          <string-name>
            <given-names>G.</given-names>
             
            <surname>Kusuma</surname>
          </string-name>
          ,
          <string-name>
            <given-names>D.</given-names>
             
            <surname>Ramadhani</surname>
          </string-name>
          ,
          <article-title>A review on decentralized finance ecosystems</article-title>
          ,
          <source>Future Internet</source>
          <volume>16</volume>
          (
          <issue>3</issue>
          ) (
          <year>2024</year>
          ). doi:
          <volume>10</volume>
          .3390/fi16030076
        </mixed-citation>
      </ref>
      <ref id="ref8">
        <mixed-citation>
          [8]
          <string-name>
            <surname>S.</surname>
          </string-name>
           Nakamoto,
          <article-title>Bitcoin: A peer-to-peer electronic cash system</article-title>
          .
          <source>Emerging technologies: Bitcoin &amp; cryptocurrencies</source>
          ,
          <year>2008</year>
          . URL: https://www.ussc.gov/sites/default/files/pdf/training/annualnational-training-seminar/2018/Emerging_Tech_Bitcoin_Crypto.pdf
        </mixed-citation>
      </ref>
      <ref id="ref9">
        <mixed-citation>
          [9]
          <string-name>
            <surname>R.</surname>
          </string-name>
           Adams,
          <article-title>The future of money and further applications of the blockchain</article-title>
          ,
          <source>Strategic Change</source>
          <volume>26</volume>
          (
          <issue>5</issue>
          ) (
          <year>2017</year>
          ). doi:
          <volume>10</volume>
          .1002/jsc.2141
        </mixed-citation>
      </ref>
      <ref id="ref10">
        <mixed-citation>
          [10]
          <string-name>
            <surname>R.</surname>
          </string-name>
           Adams,
          <string-name>
            <given-names>B.</given-names>
             
            <surname>Kewell</surname>
          </string-name>
          ,
          <string-name>
            <surname>G.</surname>
          </string-name>
           
          <article-title>Parry, Blockchain for good: Digital ledger technology and sustainable development goals</article-title>
          ,
          <source>in: Handbook of Sustainability and Social Science Research</source>
          ,
          <year>2017</year>
          ,
          <fpage>127</fpage>
          -
          <lpage>140</lpage>
          . doi:
          <volume>10</volume>
          .1007/978-3-
          <fpage>319</fpage>
          -67122-
          <issue>2</issue>
          _
          <fpage>7</fpage>
        </mixed-citation>
      </ref>
      <ref id="ref11">
        <mixed-citation>
          [11]
          <string-name>
            <surname>C.</surname>
          </string-name>
           R. Harvey, Cryptofinance,
          <string-name>
            <surname>SSRN</surname>
          </string-name>
          ,
          <year>2014</year>
          . doi:
          <volume>10</volume>
          .2139/ssrn.2438299
        </mixed-citation>
      </ref>
      <ref id="ref12">
        <mixed-citation>
          [12]
          <string-name>
            <given-names>M.</given-names>
             
            <surname>Zamani</surname>
          </string-name>
          ,
          <string-name>
            <given-names>M.</given-names>
             
            <surname>Movahedi</surname>
          </string-name>
          ,
          <string-name>
            <surname>M.</surname>
          </string-name>
           Raykova,
          <article-title>RapidChain: Scaling blockchain via full sharding</article-title>
          , in: CCS'-AAA18
          <source>: Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security</source>
          ,
          <year>2018</year>
          ,
          <fpage>931</fpage>
          -
          <lpage>948</lpage>
          . doi:
          <volume>10</volume>
          .1145/3243734.3243853
        </mixed-citation>
      </ref>
      <ref id="ref13">
        <mixed-citation>
          [13]
          <string-name>
            <given-names>K.</given-names>
             
            <surname>Delmolino</surname>
          </string-name>
          , et al.,
          <article-title>Step by step towards creating a safe smart contract: Lessons and insights from a cryptocurrency lab, in: Financial Cryptography and Data Security</article-title>
          .
          <source>FC 2016. Lecture Notes in Computer Science</source>
          , vol.
          <volume>9604</volume>
          ,
          <year>2016</year>
          ,
          <fpage>79</fpage>
          -
          <lpage>94</lpage>
          . doi:
          <volume>10</volume>
          .1007/978-3-
          <fpage>662</fpage>
          -53357-
          <issue>4</issue>
          _
          <fpage>6</fpage>
        </mixed-citation>
      </ref>
      <ref id="ref14">
        <mixed-citation>
          [14] G. G. 
          <string-name>
            <surname>Ahmed</surname>
          </string-name>
          , et al.,
          <article-title>Emerging trends in blockchain technology and applications</article-title>
          , J. King Saud University-Comput.
          <source>Inf. Sci</source>
          .
          <volume>34</volume>
          (
          <issue>9</issue>
          ) (
          <year>2022</year>
          )
          <fpage>6719</fpage>
          -
          <lpage>6742</lpage>
          . doi:
          <volume>10</volume>
          .1016/j.jksuci.
          <year>2022</year>
          .
          <volume>03</volume>
          .007
        </mixed-citation>
      </ref>
      <ref id="ref15">
        <mixed-citation>
          <source>[15] I. </source>
          <string-name>
            <surname>Weber</surname>
            ,
            <given-names>M.</given-names>
          </string-name>
           
          <string-name>
            <surname>Staples</surname>
          </string-name>
          ,
          <article-title>Programmable money: Next-generation blockchain-based conditional payments</article-title>
          ,
          <source>Digital Finance</source>
          <volume>4</volume>
          (
          <year>2022</year>
          )
          <fpage>109</fpage>
          -
          <lpage>125</lpage>
          . doi:
          <volume>10</volume>
          .1007/s42521-022-00059-5
        </mixed-citation>
      </ref>
      <ref id="ref16">
        <mixed-citation>
          [16]
          <string-name>
            <given-names>B.</given-names>
             
            <surname>Kaplan</surname>
          </string-name>
          ,
          <string-name>
            <given-names>F.</given-names>
             
            <surname>Benli</surname>
          </string-name>
          ,
          <string-name>
            <surname>E.</surname>
          </string-name>
           A. 
          <article-title>Alp, Decentralize finance and new lending protocols</article-title>
          ,
          <source>in: 11th Istanbul Finance Congress (IFC)</source>
          , vol.
          <volume>16</volume>
          ,
          <year>2023</year>
          ,
          <fpage>182</fpage>
          -
          <lpage>195</lpage>
          . doi:
          <volume>10</volume>
          .17261/Pressacademia.
          <year>2023</year>
          .1686
        </mixed-citation>
      </ref>
      <ref id="ref17">
        <mixed-citation>
          [17]
          <string-name>
            <given-names>K.</given-names>
             
            <surname>Livitckaia</surname>
          </string-name>
          , et al.,
          <source>Decentralised social media</source>
          ,
          <year>2023</year>
          . doi:
          <volume>10</volume>
          .2139/ssrn.4636894
        </mixed-citation>
      </ref>
      <ref id="ref18">
        <mixed-citation>
          [18]
          <string-name>
            <surname>D. Krause</surname>
          </string-name>
          <article-title>The $TRUMP Meme coin: Genius, greed</article-title>
          , or grift? Marquette University,
          <year>2025</year>
          .
          <source>doi:10.13140/RG.2.2.15245.45280</source>
        </mixed-citation>
      </ref>
      <ref id="ref19">
        <mixed-citation>
          [19]
          <string-name>
            <given-names>A. G.</given-names>
            <surname> Zainal</surname>
          </string-name>
          , et al.,
          <article-title>A decentralized autonomous personal data management system in banking sector</article-title>
          ,
          <year>2022</year>
          . doi:
          <volume>10</volume>
          .1016/j.compeleceng.
          <year>2022</year>
          .108027
        </mixed-citation>
      </ref>
      <ref id="ref20">
        <mixed-citation>
          [20]
          <string-name>
            <given-names>M.</given-names>
             
            <surname>Zichichi</surname>
          </string-name>
          ,
          <string-name>
            <given-names>S.</given-names>
             
            <surname>Ferretti</surname>
          </string-name>
          ,
          <string-name>
            <given-names>V.</given-names>
             
            <surname>Rodríguez-Doncel</surname>
          </string-name>
          ,
          <article-title>Decentralized personal data marketplaces: How participation in a DAO can support the production of citizen-generated data</article-title>
          ,
          <source>Sensors</source>
          <volume>22</volume>
          (
          <issue>16</issue>
          ) (
          <year>2022</year>
          ). doi:
          <volume>10</volume>
          .3390/s22166260
        </mixed-citation>
      </ref>
      <ref id="ref21">
        <mixed-citation>
          [21]
          <string-name>
            <surname>J. R.</surname>
          </string-name>
           Pereira,
          <string-name>
            <surname>G.</surname>
          </string-name>
           
          <article-title>Garcia, DAOs: Governance in the blockchain era</article-title>
          ,
          <year>2023</year>
          . doi:
          <volume>10</volume>
          .5772/intechopen.109040
        </mixed-citation>
      </ref>
      <ref id="ref22">
        <mixed-citation>
          [22]
          <string-name>
            <surname>J. Proelss</surname>
            ,
            <given-names>S.</given-names>
          </string-name>
           
          <string-name>
            <surname>Sévigny</surname>
            ,
            <given-names>D.</given-names>
          </string-name>
           Schweizer,
          <string-name>
            <surname>GameFi:</surname>
          </string-name>
          <article-title>The perfect symbiosis of blockchain, tokens</article-title>
          , DeFi, and NFTs?,
          <year>2023</year>
          . doi:
          <volume>10</volume>
          .1016/j.irfa.
          <year>2023</year>
          .102916
        </mixed-citation>
      </ref>
      <ref id="ref23">
        <mixed-citation>
          [23]
          <string-name>
            <given-names>B.</given-names>
             
            <surname>Hanneke</surname>
          </string-name>
          ,
          <string-name>
            <given-names>M.</given-names>
             
            <surname>Heß</surname>
          </string-name>
          ,
          <string-name>
            <surname>O.</surname>
          </string-name>
           
          <article-title>Hinz, Foundations of decentralized metaverse economies: Converging physical and virtual realities</article-title>
          ,
          <source>J. Manag. Inf. Syst</source>
          .
          <volume>42</volume>
          (
          <issue>1</issue>
          ) (
          <year>2025</year>
          )
          <fpage>238</fpage>
          -
          <lpage>272</lpage>
          . doi:
          <volume>10</volume>
          .1080/07421222.
          <year>2025</year>
          .2452017
        </mixed-citation>
      </ref>
      <ref id="ref24">
        <mixed-citation>
          [24]
          <string-name>
            <given-names>Z.</given-names>
             
            <surname>Wang</surname>
          </string-name>
          , et al.,
          <source>SoK: Decentralized AI (DeAI)</source>
          ,
          <year>2024</year>
          . doi:
          <volume>10</volume>
          .48550/arXiv.2411.17461
        </mixed-citation>
      </ref>
      <ref id="ref25">
        <mixed-citation>
          [25]
          <string-name>
            <given-names>O. A.</given-names>
            <surname>Khashan</surname>
          </string-name>
          , et al.,
          <article-title>Blockchain-based decentralized authentication model for IoT-based elearning and educational environments</article-title>
          ,
          <source>Comput. Mater. Continua</source>
          <volume>75</volume>
          (
          <issue>2</issue>
          ) (
          <year>2023</year>
          )
          <fpage>3133</fpage>
          -
          <lpage>3158</lpage>
          . doi:
          <volume>10</volume>
          .32604/cmc.
          <year>2023</year>
          .036217
        </mixed-citation>
      </ref>
      <ref id="ref26">
        <mixed-citation>
          [26]
          <string-name>
            <surname>A.</surname>
          </string-name>
           Mawaggali.
          <article-title>Autonomous economic agents with the fetch</article-title>
          .
          <source>AI Open economic framework</source>
          ,
          <source>2020. doi:10.13140/RG.2.2.14899.04641/1</source>
        </mixed-citation>
      </ref>
      <ref id="ref27">
        <mixed-citation>
          [27]
          <string-name>
            <given-names>M.</given-names>
             
            <surname>Sockin</surname>
          </string-name>
          ,
          <string-name>
            <surname>W.</surname>
          </string-name>
           
          <article-title>Xiong Decentralization through tokenization</article-title>
          ,
          <source>J. Finance</source>
          <volume>78</volume>
          (
          <issue>1</issue>
          ) (
          <year>2023</year>
          )
          <fpage>247</fpage>
          -
          <lpage>299</lpage>
          . doi:
          <volume>10</volume>
          .1111/jofi.13192
        </mixed-citation>
      </ref>
      <ref id="ref28">
        <mixed-citation>
          [28]
          <string-name>
            <surname>A.-C.</surname>
          </string-name>
          <article-title> Eniță, Understanding common smart contract vulnerabilities and the critical need for testing and audits, Romanian Cyber Secur</article-title>
          . J.
          <volume>6</volume>
          (
          <issue>1</issue>
          ) (
          <year>2024</year>
          )
          <fpage>67</fpage>
          -
          <lpage>74</lpage>
          . doi:
          <volume>10</volume>
          .54851/v6i1y202407
        </mixed-citation>
      </ref>
      <ref id="ref29">
        <mixed-citation>
          [29]
          <string-name>
            <given-names>Z.</given-names>
             
            <surname>Wei</surname>
          </string-name>
          , et al.,
          <article-title>LLM-SmartAudit: Advanced smart contract vulnerability detection</article-title>
          ,
          <source>in: Conference Acronym'XX</source>
          ,
          <year>2024</year>
          .
        </mixed-citation>
      </ref>
      <ref id="ref30">
        <mixed-citation>
          [30]
          <string-name>
            <given-names>Z.</given-names>
             
            <surname>Yang</surname>
          </string-name>
          , et al.,
          <article-title>Smart contracts vulnerability auditing with multi-semantics</article-title>
          ,
          <source>in: 2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC)</source>
          ,
          <year>2020</year>
          . doi:
          <volume>10</volume>
          .1109/compsac48688.
          <year>2020</year>
          .0-
          <fpage>153</fpage>
        </mixed-citation>
      </ref>
      <ref id="ref31">
        <mixed-citation>
          [31]
          <string-name>
            <given-names>W.</given-names>
             
            <surname>Haouari</surname>
          </string-name>
          ,
          <string-name>
            <surname>A</surname>
          </string-name>
          . S. Hafid,
          <string-name>
            <given-names>M.</given-names>
             
            <surname>Fokaefs</surname>
          </string-name>
          ,
          <article-title>Vulnerabilities of smart contracts and mitigation schemes: A comprehensive survey</article-title>
          ,
          <source>arXiv. doi:10.48550/arXiv.2403.19805</source>
        </mixed-citation>
      </ref>
      <ref id="ref32">
        <mixed-citation>
          [32]
          <string-name>
            <given-names>W.</given-names>
             
            <surname>Jiang</surname>
          </string-name>
          , et al.,
          <article-title>DSCAPS: A Decentralized smart contract auditing platform based on sidechain</article-title>
          ,
          <source>Inf. Sci</source>
          .
          <volume>677</volume>
          (
          <year>2024</year>
          ). doi:
          <volume>10</volume>
          .1016/j.ins.
          <year>2024</year>
          .120861
        </mixed-citation>
      </ref>
      <ref id="ref33">
        <mixed-citation>
          [33]
          <string-name>
            <surname>J. M. Wishwasara</surname>
          </string-name>
          ,
          <article-title>Zero-knowledge proofs: A comprehensive review of applications, protocols, and future directions in cybersecurity</article-title>
          , Staffordshire University,
          <year>2023</year>
          .
          <source>doi:10.13140/RG.2.2.11606.22080</source>
        </mixed-citation>
      </ref>
      <ref id="ref34">
        <mixed-citation>
          [34]
          <string-name>
            <surname>Md</surname>
          </string-name>
          . 
          <string-name>
            <surname>Al-Amin</surname>
          </string-name>
          , et al.,
          <article-title>Decentralized payment aggregator: Hyperledger fabric</article-title>
          ,
          <source>Int. J. Adv. Comput. Sci. Appl</source>
          .
          <volume>13</volume>
          (
          <issue>10</issue>
          ) (
          <year>2022</year>
          )
          <fpage>849</fpage>
          -
          <lpage>857</lpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref35">
        <mixed-citation>
          [35]
          <string-name>
            <surname>G.</surname>
          </string-name>
           Fanti,
          <string-name>
            <surname>P.</surname>
          </string-name>
           Viswanath, Unit-e:
          <article-title>Summary of design, decentralized payment systems: Principles and design,</article-title>
          <year>2019</year>
          ,
          <fpage>11</fpage>
          -
          <lpage>12</lpage>
          .
        </mixed-citation>
      </ref>
    </ref-list>
  </back>
</article>