Accelerated growth of the Internet of Things (IoT) expands the implementation of it in our everyday life. The IoT connects artificial intelligence and different physical applications or devices, in order to expand the usage scope and make cities more innovative. A great amount of data produced by the IoT is an example of Data Intensive Domains (DID). The first two parts of this article is a background overview of the IoT and areas, where the IoT is developing. The third part describes the privacy limitations and possible solutions. The fourth part is about the level of IoT privacy limitations in the era of DID. In Conclusion the Research Stand was developed and aims that are planned to achieve.
The Internet of Things is a new era of communication
between the people and the devices. Everyone is surrounded
with all possible types of electronics, which make life easier.
The Internet of Things is a network of smart devices. Smart
devices are machines or appliances that utilize different
protocols, such as RFID (Radio Frequency Identification),
Bluetooth or TCP/IP (Transmission control Protocol) and
technics to transfer information over the Internet and
exchange the data between the customers and services in the
cloud, as described by [
Smart home devices are used to smart control door locks, windows, air conditioner, heater, electricity plugs, coffee machines, dishwashers, alarm clock, fire alarm, smoke detectors and window shades. Smart home management is divided into three parts: smart control, smart powersaving and smart application.
Transport industries smart devices are used to provide
mobile services in the car with high speed Internet. This
feature will enable real time traffic control, interaction
with the car manufacturer service for remote diagnostics
and improved company logistics automation. Moreover,
in the beginning of the self-driven car era, they start to
use Internet for information exchange between the cars
for better route selection and accident reports.
In health industry smart devices are used by a lot of
people. These are devices like smart watches to trace the
heart rate, glucose level for diabetics, sleep time
duration, workout results, breathing rate, body
temperature and other health indicators. These indicators
can be shared either with different applications to create
an overview of our day or with the doctor [
In retail shops they use different sensors, lasers and RFID
scanners to improve their business strategy by better supply
chain management and creating customer’s profile.
According to the study of [
Privacy is a very important aspect of human’s life,
especially when all devices people are using, sometimes
are able to collect sensitive information about our life.
The Internet of Things devices create information that is
used for the analysis purpose [
All devices in the Internet of Things generate data, and
not all people understand what happens after they agreed
with all the terms and conditions proposed by the
business. Users have limited rights in managing smart
devices. According to the study [
Exists
Next four subsections will discuss how to limit the possibility of a hacker attack and other vulnerabilities. An in-depth literature review has been made to categorize many different types of vulnerabilities for future implementation and modeling in the research stand.
The Internet of things sensors, application and services
are usually connected by a software-defined networking
controller. This technology makes network control easier
by dividing network flow of the control plane from the
data plane. But the issue with this technology is that none
of the existing controllers have security firewall to block
malware containing packets from reaching the device
manager [
Privacy question is very sensitive for people. More
than 60% of social media users identified the lack of
control on shared information [
If the data from the smart devices will be stolen and misused, it will have a big impact on privacy. Different companies, such as social networks, smart phones, laptops, some loyalty programs and other have total overview of our life since 2010, they know what people buy, where do they spend time and even how do they look, because of recent implementation of face recognition systems into our phones, tablets and laptops. Local Internet providers are sharing Internet usage information, such as cookies with different advertisement organizations.
Technologically advanced world makes people’s life
easier, but at the same time increases the dependence on
the used systems. As mentioned in the article by [
One example, in March 2018 Amazon has bought a door bell system for 2 billion dollars. After implementing it with Amazon Alexa they will have access to the information about people, who are currently at home or who went on vacation.
All these technologies are reducing privacy around the globe, and if the access to the information is not managed properly it can result in increase of criminal actions and privacy violations in the future and subsequently limit the usage of the Internet of Things. People can just accept the fact they are being watched and somebody has access to their life. Any business is interested in income, and lack of attention to security measures may potentially turn into problems with personal privacy and data information security. If the Internet of Things data gets compromised different consequences may happen. The future privacy limitation is an expanding problem, which will be discussed further.
The Internet of Things devices generate very large amounts
of data every day. All this data is accumulated, transferred,
stored and analyzed. As more devices will be sold, the more
attractive this data will become for hackers. The level of
security of smart devices is usually very poor. According to
research of [
Numerical
Control Device
Lightweight Authentication
Protocol Smart home devices Transport
Health
Retail shopping Smart control
Smart Powersaving
Smart application
Services in the car
Remote diagnostics
Smart watch
Treatment adjustment
Customer profiling
Supply chain RFID sensors
Networking controller Man-in-the
middle Anonimizing data The purpose of this paper was to prepare research stand aimed to the privacy limitations and security analysis in the Internet of Things using the content of the Table 2 (see Table 2), it describes the Problems and Solutions of the IoT, as a summary of the previous section.
Low level of personal Numerical Control
information security Information
Low level of the privacy Networking controller
control with enhanced security
firewall
Data theft and misuse Anonymizing data
Authentication process in A transfer security
transfer control between lightweight protocol
the Internet of Things
devices
Each problem is planned to be analyzed in regards to the
level, where the vulnerability may occur. During the
modelling process [
The topic identified for further research is data intensive analysis in DID. Different types of the privacy limitations’ and solutions’ are briefly described further and illustrated by Figure 1 (see Figure 1) Scheme of Research Stand. Different levels of dataflow are presented on the scheme. First level is showing the industries and types of implementation of the IoT. The second level shows examples of data collecting methods. The third level from IoT hub to Data Analysis shows the process of collecting and processing the data and types of vulnerabilities, which may affect the security. Each of the solutions on the scheme gives an illustration of every solution for better understanding, on which level each of them may be tested and what other new possible outcomes can be foreseen during the dataflow. Acknowledgments. This work is supervised by Associate Professor, PhD, Dr. Elena Smirnova, Faculty of Informatics and Control Systems, Bauman Moscow State Technical University.