<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Archiving and Interchange DTD v1.0 20120330//EN" "JATS-archivearticle1.dtd">
<article xmlns:xlink="http://www.w3.org/1999/xlink">
  <front>
    <journal-meta>
      <journal-title-group>
        <journal-title>ORCID:</journal-title>
      </journal-title-group>
    </journal-meta>
    <article-meta>
      <title-group>
        <article-title>Activities for Digital Economy Conditions</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Yelena Yu. Lukyanova</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Daniil V. Gorobets</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>V.I. Vernadsky Crimean Federal University</institution>
          ,
          <addr-line>Prospekt Vernadskogo 4, Simferopol, Crimea, 295007</addr-line>
        </aff>
      </contrib-group>
      <pub-date>
        <year>2060</year>
      </pub-date>
      <volume>000</volume>
      <fpage>0</fpage>
      <lpage>0003</lpage>
      <abstract>
        <p>An educational holding is the modern perspective form of a process interaction for different economic units that are included in it and provide various services in an area of education. That form of work actualizes solutions for problems of security procuring when accessing informational resources. Digitalization of the economy and a regime of restrictions in the pandemic Covid-19 contributed to the transfer of peculiar processes and operations of the educational holding to an online format when it is necessary to provide the clear and strict identification of persons who participates in the educational process. Previously existing means that were used for these operations are no longer sufficient. It is required the new approach to security of educational activity. The article discusses prospects for applying information biometric technologies at activities of the educational holding for the digital economy conditions. Features, advantages, and security of identification by face, palm, and fingerprints have been determined. It is suggested to use Biosmart-Studio to automate this process as well as its integration with various programs and applications taking into account the digitalization of an educational process. Information biometric technologies, educational holding, digital economy, identification estimations, theory of constraints, and process approach. Also, there were researched specific papers on the dedicated topic [1-28] and statistical data.</p>
      </abstract>
      <kwd-group>
        <kwd>statistic analysis</kwd>
        <kwd>structural analysis</kwd>
        <kwd>technical and economic analysis</kwd>
        <kwd>economical modeling</kwd>
        <kwd>expert</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>-</title>
      <p>security, automation, integration</p>
    </sec>
    <sec id="sec-2">
      <title>1. Introduction</title>
      <p>Nowadays educational holding is the optimal form for processes of education and correlative
interaction between structures that are involved in its system. It operates with multiple business
structures and peculiar individuals. At the same time following the requirements of the digital economy,
the part of these activities has been transferred online. Ensuring safety at the educational holding is the
basis for its economic and social stability. It is necessary to define information technologies that can
solve this problem comprehensively. The thesis mentioned above helps to formulate the aim of this
article as research prospects for an appliance of the information biometric technologies at activities of
the educational holding beyond the digital economy conditions.</p>
      <p>2021 Copyright for this paper by its authors.
3. Analysis on Prospects for the Appliance of Information Biometric
Technologies at Activities of the Educational Holding Beyond the Digital</p>
    </sec>
    <sec id="sec-3">
      <title>Economy Conditions</title>
      <p>
        There are different approaches to the security of an organization in the digital economy conditions.
Peculiar papers of various authors [
        <xref ref-type="bibr" rid="ref1 ref2 ref3">1-30</xref>
        ] disclose a few of them. Figure 1 demonstrates existing systems
of identification and authentication that can be applied at the educational holding for the complex
security of informational processes and their components.
      </p>
      <sec id="sec-3-1">
        <title>Systems for identification and authentication</title>
      </sec>
      <sec id="sec-3-2">
        <title>Electronic</title>
      </sec>
      <sec id="sec-3-3">
        <title>Biometric</title>
      </sec>
      <sec id="sec-3-4">
        <title>Combined</title>
        <sec id="sec-3-4-1">
          <title>Contact simcards</title>
        </sec>
      </sec>
      <sec id="sec-3-5">
        <title>Contactless smart-cards</title>
      </sec>
      <sec id="sec-3-6">
        <title>USB-keys iButton</title>
      </sec>
      <sec id="sec-3-7">
        <title>Statistic</title>
      </sec>
      <sec id="sec-3-8">
        <title>Dynamic</title>
      </sec>
      <sec id="sec-3-9">
        <title>One-time passwords</title>
        <sec id="sec-3-9-1">
          <title>Time updates</title>
        </sec>
      </sec>
      <sec id="sec-3-10">
        <title>Keypress updates</title>
      </sec>
      <sec id="sec-3-11">
        <title>Contactless smart-cards and USBkeys</title>
      </sec>
      <sec id="sec-3-12">
        <title>Hybrid smart-cards</title>
      </sec>
      <sec id="sec-3-13">
        <title>Biometric and USBkeys</title>
      </sec>
      <sec id="sec-3-14">
        <title>Systems with one-time passwords and USB-keys</title>
        <p>The best decision for the educational holding is to find an effective combination of mentioned
systems. Nevertheless, the holding faces restrictions connected to the time of implementation for
innovations on security also limitations on resources for it. This caused expertise on systems for the
holding. It revealed that informational biometric technologies are the most appropriate ones for it. Its
process is disclosed in Figure 2.</p>
        <sec id="sec-3-14-1">
          <title>Biometric image</title>
        </sec>
        <sec id="sec-3-14-2">
          <title>Verification</title>
        </sec>
        <sec id="sec-3-14-3">
          <title>Biometri</title>
          <p>c image</p>
        </sec>
        <sec id="sec-3-14-4">
          <title>Reading and</title>
          <p>converting</p>
        </sec>
        <sec id="sec-3-14-5">
          <title>Highlighting characteristics</title>
        </sec>
        <sec id="sec-3-14-6">
          <title>Reading and</title>
          <p>converting</p>
          <p>Highlighting
characteristics</p>
          <p>The expertise also displays that there were multiple incidents at the security of informational process
at the educational holding area. Key ones of them are illustrated in Figure 3.</p>
          <p>Data on key incidents at security of informational processes at the educational holding area
28
17.4
15.8
11.2
10
5.8
4.6
2.1
1.8
1.65
1.4
0.12</p>
        </sec>
      </sec>
      <sec id="sec-3-15">
        <title>Weight of disclosed data parameters, %</title>
        <sec id="sec-3-15-1">
          <title>Database</title>
        </sec>
      </sec>
      <sec id="sec-3-16">
        <title>DataBase</title>
        <p>Comparing
k
r
o
w
t
e
n
t
a
y
t
i
v
i
t
c
a
s
u
o
i
c
i
p
s
u
S
n
o
i
t
a
g
i
t
s
e
v
n
I
d
e
z
i
r
o
h
t
u
a
t
o
n
s
a
w
t
a
h
t
s
s
e
c
c
A</p>
        <p>Decision
r
e
p
o
r
p
m
i
s
a
w
t
a
h
t
e
g
a
s
U
g
n
i
h
s
i
h
P
e
c
i
v
r
e
s
f
o
l
a
i
n
e
D
17.4
15.8
11.2
10
5.8
4.6
2.1
1.85
1.65
work time. They secure business resources from unsanctioned access and provide the maximal effective
organization of personnel work. The IBT complexes are applied at all spheres of the economy and also
are suitable for educational holdings.</p>
        <p>Facial identification is based on the recognition of individual facial characteristics. A biometric
terminal of facial identification is equipped with a stereo camera with an adaptive backlight. The 3D
technology of shooting allows fixing characteristics of a face with a high level of accuracy at any
luminosity even in the darkness. An image is coded as the mathematical pattern and then it is kept in a
database. Further terminal identifies a person by comparing his facial characteristics with the patterns
in the database. The advantages of this technology are grounded on the fact that the face of each person
is inimitable and has more unique characteristics than a fingertip. The stereo camera identifies the
person as absolutely reliable; it even fixes differences in the faces of siblings and people of any
nationality. The facial biometry safely secures from a forgery in the contradistinction an RFID card that
can be lost, forgotten, stolen, or handed over to a colleague. The terminal is equipped with a powerful
processor therefore the identification takes less than half-second. Facial recognition is contactless,
hygienic, convenient, and safe for health.</p>
        <p>The palm identification is based on an identification of the person by an individual structure of the
network of venous vessels underhand skin. The device scans the palm in multispectral infrared light
and reads its reflection. Hemoglobin in veins absorbs part of the infrared radiation; therefore a pattern
of blood vessels appears on a reflection. The mathematical algorithms convert the pattern to the digital
code and pack it into an encrypted template file that is only 2 KB in size. To identify the person the
device scans his palm and compares a resulting biometric template with the templates in the database.
It is also a more secure way than the traditional RFID cards. This kind of recognition as well as the
facial one is contactless, hygienic, convenient, and safe for the health. A condition of the hand does not
matter because the vein scanner accurately recognizes the person by a dirty or damp palm or with cuts
and calluses, and even a palm in thin medical gloves.</p>
        <p>The identification by fingerprints is the scanning of an individual pattern of papillary lines on
fingertips. The capacitive scanners register a difference in electrical potential between tubercles and
depressions of a papillary pattern, the optical scanners recognize a fingerprint using the built-in camera.
To identify a person the device matches one’s fingerprint with the patterns in the database. It has
advantages at the recognition as such as the fingerprints are unique and don’t change throughout life,
even if the skin is damaged, it is restored. Unlike the RFID cards fingers also cannot be lost, forgotten
at home, stolen, or passed on to a colleague. The optical scanners are durable and resistant to damage.
Scratches of the scanner don’t affect the image quality. The capacitive scanners are equipped with a
heating system to confirm an identity even at sub-zero temperatures.</p>
        <p>In the modern social and economic environment it is up-to-date to use complex information
technologies for biometric identification at the educational holdings. Also, the very solution must have
appropriate price and coverage. In the research, it was studied different program complexes for solving
the problem. And such a solution can provide Biosmart Studio. It takes into account many years of
experience at organizing access control and administration at many large and small economic units of
various types of activity (from small offices and fitness centers to large factories and airports) at the
Russian Federation, the CIS, and Europe. Biosmart Studio is constantly being improved to expand the
capabilities and improve the convenience of working with Biosmart ACS [6].</p>
        <p>Biosmart provides to the user's such kinds of activities as:
1. Centralized administration of operations for Biosmart controllers and terminals, setting their
parameters and firmware updating.
2. Monitoring of performance of controllers and ACS terminals, registering and storing events
(entry/exit of employees, actions of software users, updates, messages, malfunctions, etc.).
3. Creation, storage, deletion at ACS database of biometric data templates as well as other
information about employees and departments.
4. Differentiation of access, creation of access scripts for different users (user groups,
departments, enterprises).</p>
      </sec>
      <sec id="sec-3-17">
        <title>5. Automated distribution of reports, messages, and reports by e-mail, SMS, or Telegram.</title>
        <p>BIOSMART company produces face identification terminals with built-in protection against
spoofing that is attempting to deceive the terminal using a fake image. A reliable anti-spoofing face
recognition algorithm is the company's know-how. It ensures that the terminal does not react to a photo
or a video. BIOSMART's joint projects with the operator of the Unified Biometric System have shown
how face recognition operates in praxis. Thus the face recognition technology is successfully used at
the bio-acquiring systems. The biometric image is used to approve a payment transaction or help to
verify a customer's age for age-restricted purchases. As for the palm identification that was mentioned
above it comes from that a vein pattern is not visible in normal light, so it cannot be photographed or
faked. The BIOSMART’s device scans the palm at several IR spectra at the same time, so it cannot be
fooled with a silicone dummy. Only some significant parameters of the individual pattern of veins are
encrypted in the digital template, so it is impossible to restore a full-fledged image of the hand from it.
Even if an attacker gains access to the database, he will not be able to use it in any way. Wherever palm
identification is used, this method has established itself as the most convenient and secure among all
biometric identification methods. The devices for fingerprints identification also is provided by
BIOSMART. Biometric information is stored in an encrypted form when identifier files contain only
some significant parameters of a person's papillary pattern, thus it is impossible to recover a full-fledged
image of a fingerprint from a file.</p>
        <p>The biometric identification system of Biosmart consists of a wide range of equipment and allows
the educational holding to organize an effective, reliable, and cost-effective access control and
administrating system, personnel monitoring and control, and visitor identification. These systems can
have any scale and complexity from local to network systems designed for large geographically
distributed objects. The integration of video surveillance systems and Biosmart ACS opens up new
opportunities in the field of biometric identification and the modern ACS solutions as increasing the
security level of an object by adding information from the CCTV cameras to the ACS interface in the
online mode; also reducing the resources of the security service to investigate incidents and prevent the
fraud with working time due to simple access to the video archive from the ACS interface.</p>
        <p>The add-on module “Integration with video surveillance” allows viewing live video from the
cameras directly at the Biosmart-Studio software at the “Monitoring” module; it also adds the ability to
view the video archive data from the Biosmart-Studio software in the “Logs” section of the ACS system
events. The integration options are the binding of cameras of the video surveillance systems to the
access points of Biosmart ACS, viewing the data of the video archive for any events of the access points
from the Logs section of the Biosmart-Studio software, and viewing the live video in the
BiosmartStudio software from surveillance cameras. It can be used at security posts, checkpoints, and monitoring
centers.</p>
        <p>Today Biosmart ACS supports work with video surveillance systems such as Trassir, Macroscop,
Linia, Intellect, and Axxon Next. In addition, the Biosmart-Studio v5 software provides the ability to
connect the most IP cameras that support the RTSP exchange protocol. Integration options when
working with the IP cameras include increasing the security level of the facility by adding information
from the CCTV cameras to the ACS interface in online mode, binding the cameras to the points of
passage or security area, viewing the video at the Biosmart-Studio software from the surveillance
cameras. It can be used at any security post or checkpoint.</p>
        <p>The use of the integration of 1C and Biosmart ACS allows linking salaries of employees to real data
on their presence at workplaces, reducing labor intensity and influence of the human factor to the
preparation of timesheets at 1C, automating data synchronization between 1C and the Biosmart-Studio
software. The integration is based on the Biosmart-1C expansion module. The functionality of this
module includes data transfer on an organizational structure and personnel of an economic unit from
1C to the Biosmart-Studio v5 software. The module automatically synchronizes the organizational
structure of the business entity at 1C with Biosmart-Studio; it loads data on the input-output events
from the Biosmart-Studio v5 software.</p>
        <p>Also, it integrates data on sick leaves, vacations, and other reasons for absences of employees at
workplaces for further registration at the report card and takes into account intraday business trips of
employees, automatically calculates timesheets using a wide range of settings. The module fills out the
standard configuration document 1C “Regulated timesheet” with the data that is evaluated based on
correlating planned schedules and actual visits that allows calculating employee salaries based on the
discipline of arrivals and departures. The Biosmart system can be integrated with any other system or a
software package via API using the “API-integration” extension module. The integration interface uses
the HTTPS / HTTP / TCP protocols and the XML exchange format, so developers can create the
integrated solutions with the Biosmart-Studio v5 system regardless of technologies, programming
languages, and applied operating systems. Using the Biosmart system API can be integrated with any
third-party system (including different management systems of business structures, HR systems, CRM,
and ERP systems); it automates data exchange between systems, transfers functionality from the
Biosmart-Studio software environment to a familiar system, implements external client applications for
the Biosmart-Studio software. Integration of Biosmart ACS with breathalyzers allows control sobriety
of employees when they enter an economic unit or a work area. The Biosmart terminal identifies a
person, and the breathalyzer determines the concentration of alcohol in the exhaled air.</p>
        <p>An additional control factor can be integration with a video surveillance system or an installation of
the “Biosmart + breathalyzer” device at visibility zones from the security points. The introduction of
the Biosmart system integrated with the breathalyzer significantly reduces the number of injuries and
emergencies at work. This process includes several actions. An employee confirms his identity on the
biometric terminal, and then upon a signal on the terminal screen, he is tested on the breathalyzer. If
the concentration of alcohol in the exhaled air exceeds the permissible value, the employee is not
allowed to pass to the economic unit. The blocking event and the PPM level in the exhaled air are
transmitted to the Biosmart-Studio v5 software. A notification about an attempt to enter an employee
with an increased level of alcohol in the exhaled air is sent by SMS, e-mail, or Telegram. The alcohol
content in the exhaled air is recorded at the system report on the alcohol testing of employees. The
integration with breathalyzers is supported by the terminal for the veins of the palm Biosmart PV-WTC,</p>
      </sec>
      <sec id="sec-3-18">
        <title>Biosmart WTC2 fingerprint terminal.</title>
        <p>The integration with Telegram adds an easy and simple way to interact with Biosmart ACS from a
Smartphone or PC using the Telegram messenger. Managers will be able to receive events about
passages of employees, system notifications, monitor the status of controllers, request their reports on
working hours using the Smartphone with the Telegram application installed on it, and access to the
Internet. The integration options provide to receive prompt notifications via Telegram about important
events in the system (e.g., a failure in an operation of controllers), to monitor the status of the controllers
– in the case of the abnormal events at the operation of the controller's notifications with the specific
status of the controller are sent, to realize real-time tracking of passes of the employees through access
points and sending the notifications about the employee passes, to allow them to request and receive
reports on their hours worked.</p>
        <p>Without exception, all Biosmart biometric identification equipment can be integrated into almost
any third-party system using the SDK. Features of the SDK Device are the synchronization of lists of
employees, blocking employees, administration of time modes, changing the parameters and operating
modes of the controllers and the terminals, receiving an event log – passage of events and their system,
receiving the event cache log – reading the events in real-time from the controllers and the terminals,
the ability to change the state of the relay to control doors and turnstiles, registration of biometric
templates from the controllers and the terminals, support for recording of biometric templates to the
RFID card, etc. Key features of the SDK are cross-platform (support for Windows, Ubuntu,
AstraLinux), easy integration of the Biosmart controllers and the terminals into the software of
economic units, examples of use for common programming languages and support, and regular receipt
of updates when new firmware for the controller are released.</p>
        <p>Nowadays the Biosmart biometric identification equipment is integrated with the software of the
following manufacturers that are listed in Table 1.
Control of access and evaluation of work time by applying</p>
        <p>biometric identification. Entering biometric templates,
searching for the Biosmart devices, controlling and configuring</p>
        <p>devices, monitoring discrete inputs. Server authentication
support. The Biosmart “UniPass” module uses such interface
objects of Intellekt ISB as pass bureau, map, and log of events.</p>
        <p>SIGUR
Electronika</p>
        <p>Security
Manager</p>
        <p>(ESM)
hardware
and software
system</p>
        <p>RUBEZH
STRAZH ACS</p>
        <p>Biosmart 4,</p>
        <p>Biosmart 5M,
Biosmart-WTC2,</p>
        <p>Biosmart
PVWTC, Biosmart
DCR-PV, FS-80</p>
        <p>Biosmart 4,</p>
        <p>Biosmart</p>
        <p>UniPass,
Biosmart
PVWM, Biosmart</p>
        <p>DCR-PV
Biosmart
Quasar,
Biosmart</p>
        <p>UniPass,
Biosmart
PVWM, Biosmart</p>
        <p>PV-WTC,
Biosmart-WTC2,</p>
        <p>Biosmart 4,</p>
        <p>Biosmart 5M
RUBEZH
FireSec R3</p>
        <p>Biosmart 5M,
FS</p>
        <p>80
NEYROSS
platform</p>
        <p>Biosmart 4,
Biosmart 5M,
FS80</p>
        <p>The Biosmart equipment is connected to SIGUR controllers via
standard Wiegand interface while each reader is connected to
the IP network. The SIGUR server communicates directly with
the Biosmart devices over the network. When working with</p>
        <p>the Biosmart readers this system supports few following
access modes: only by biometric, only by card, by card, or by</p>
        <p>biometric, by several features.</p>
        <p>Control of access and evaluation of work time by applying
biometric identification. Registration and storage of biometric
templates in the pass office of ESM. The "Template on map"</p>
        <p>mode has been implemented.</p>
        <p>The Interaction of two systems is provided via communication
channels of Ethernet and Wiegand. The uniqueness of the
integration is that a separate server is still not required to
operate with the biometrics in ACS: an information exchange
is carried out between the RUBEZH STRAZH controllers and
the “Biosmart” terminals/controllers. The following
functionality is performed via Ethernet: obtaining the
biometric signs from the controllers, entering information
about users (full name, card number, etc.) and their biometric
features to the “Biosmart” controllers, control on operating
mode of the biometric controller, receiving events in the case
of an unsuccessful identification. If the user is successfully
identified, information about his number using the Wiegand</p>
        <p>protocol is transmitted to the RUBEZH STRAZH ACS that
decides to grant access through the access point. All work with
a cabinet filing and entry of identification signs is performed
by the “Pass Office” operator at embedded Web software</p>
        <p>RUBEZH STRAZH.</p>
        <p>A Principle of operation of this integration is based on an
actual connection of both the biometric reader and the MKD-2
module via Wiegand-26 interface and local network in which
PC is located with installed FireSec R3 software. When a user is
identified by the biometric reader, information is compared,</p>
        <p>received by MKD-2 via the Wiegand-26 interface from the
reader as well as from the database at the FireSec 3 software.</p>
        <p>If data is relevant and consistent with each other, enter</p>
        <p>through this access point will be allowed.</p>
        <p>Integration of the Biosmart devices into ITRIUM software
implies a provision of a software interface for the configuring</p>
        <p>and administrating access controllers, access points,
peripheral devices, time zones, monitoring equipment status</p>
        <p>and obtaining information about current transactions,
administrating databases of cards and fingerprints at the
controller as well as the AWS service functions the “Bureau of
passes” associated with automatic filling of fields the “Card
number” and the “Biometric data”. The biometric templates
are stored in passes and directly at the BOREY controllers. The
REVERS 8000</p>
        <p>ACS
TsyrkoniiS2000 ISB</p>
        <p>Biosmart 4,
Biosmart 5M,
Biosmart
PVWTC, Biosmart
DCR-PV, FS-80</p>
        <p>Biosmart</p>
        <p>UniPass,
Biosmart
PV</p>
        <p>WM</p>
        <p>size of the database for passes is limited by the memory of
BOREY controllers – 100000. The "Map and biometrics” mode</p>
        <p>has been implemented.</p>
        <p>The Biosmart devices are connected to the REVERS
K28000R(E) / C2 32000R (E) controllers via the standard Wiegand
interface. At the same time, “Biosmart” equipment is included
in the object's IP network which is used to configure devices
and centralized loading of the biometric feature templates
from the REVERS 8000 software. Adding templates along with</p>
        <p>other data of employees (card, full name, position,
department, etc.) takes place in the “Pass” program of the
REVERS 8000 software via desktop USB-readers of Biosmart.</p>
        <p>When working with the Biosmart readers the REVERSE 8000
system supports the following access modes: only biometric,
only card, card, and biometric for the unlimited number of</p>
        <p>users (server extension for Biosmart 4 devices).</p>
        <p>Access control uses biometric identification. The registration
of the biometric templates is made at the Tsyrkonii-S2000 pass
office.</p>
        <p>The suggested informational biometric technologies and the program complex provide a higher
security level for the educational holding, reduce security risks and level of attacks.</p>
      </sec>
    </sec>
    <sec id="sec-4">
      <title>4. Conclusions</title>
      <p>In the economic digitalization context, the use of information biometric technologies provides the
achievement of the necessary security level for the educational holding in modern business conditions.
It is especially important to implement the combination of various biometric solutions for identifying
people by fingerprints, palm veins, and faces. The options of Biosmart-Studio are intended for this
especially considering its integration ability with other programs and applications. The Biosmart
structures also effectively operate as part of the access control and time administration systems. They
support protecting business resources from unauthorized access and organize the most efficient work
of personnel.</p>
    </sec>
    <sec id="sec-5">
      <title>5. Acknowledgments</title>
    </sec>
    <sec id="sec-6">
      <title>6. References</title>
      <p>This work is self-initiated and self-financed. Author thanks the committee of the conference for the
participation possibility.
cancelable recognition systems, Soft Computing, 24 (20), pp. 15189-15208 (2020). DOI:
10.1007/s00500-020-04856-1.
[4] H. Abdi Nasib Far, M. Bayat, A. Kumar Das, M. Fotouhi, S.M. Pournaghi, M.A. Doostari,
LAPTAS: lightweight anonymous privacy-preserving three-factor authentication scheme for
WSN-based IIoT, Wireless Networks, 27 (2), pp. 1389-1412 (2021). DOI:
10.1007/s11276-02002523-9.
[5] W. Abdul, O. Nafea, S. Ghouzali, Combining watermarking and hyper-chaotic map to enhance the
security of stored biometric templates, Computer Journal, 63 (3), pp. 479-493 (2020). DOI:
10.1093/comjnl/bxz047.
[6] Biosmart-Studio, 2021. Url: https://bio-smart.ru/software-biosmart.
[7] D. Hidalgo, L. Cervantes, O. Castillo, P. Melin, R.M. Soto, Fuzzy parameter adaptation in genetic
algorithms for the optimization of fuzzy integrators in modular neural networks for multimodal
biometry, Computacion y Sistemas, 24 (3), pp. 1093-1105 (2020). DOI:
10.13053/CYS-24-33329.
[8] M.L. Lagunes, O. Castillo, J. Soria, F. Valdez, Optimization of a fuzzy controller for autonomous
robot navigation using a new competitive multi-metaheuristic model, Soft Computing, 25 (17), pp.
11653-11672 (2021). DOI: 10.1007/s00500-021-06036-1.
[9] E.A. Abdel-Ghaffar, M.E. Allam, H.A.K. Mansour, M.A. Abo-Alsoud, A secure face recognition
system, 2008 International Conference on Computer Engineering and Systems, ICCES 2008,
4772974, pp. 95-100 (2008). DOI: 10.1109/ICCES.2008.4772974.
[10] R.S.A. Abdalrahman, B. Bolat, N. Kahraman, A cascaded voice biometric system, Procedia</p>
      <p>Computer Science, 131, pp. 1223-1228 (2018). DOI: 10.1016/j.procs.2018.04.334.
[11] M. Abdallah, C. Fred, A. Farah, An authentication architecture dedicated to dependent people in
smart environments, Lecture Notes in Computer Science (including subseries Lecture Notes in
Artificial Intelligence and Lecture Notes in Bioinformatics), 4541 LNCS, pp. 90-98 (2007). DOI:
10.1007/978-3-540-73035-4_10.
[12] S.H. Abbdal, H. Jin, D. Zou, A.A. Yassin, Secure and efficient data integrity based on iris features
in cloud computing Proceedings – 7th International Conference on Security Technology, SecTech
2014, 7023272, pp. 3-6 (2015). DOI: 10.1109/SecTech.2014.8.
[13] I.M. Abbadi, Digital rights management using a master control device, Lecture Notes in Computer
Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in
Bioinformatics), 4846 LNCS, pp. 126-141 (2007). DOI: 10.1007/978-3-540-76929-3_13.
[14] A.F. Abate, S. Barra, A. Casanova, G. Fenu, M. Marras, Iris quality assessment: A statistical
approach for biometric security applications Lecture Notes in Computer Science (including
subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11161
LNCS, pp. 270-278 (2018). DOI: 10.1007/978-3-030-01689-0_21.
[15] J. Andress. The Basics of Information Security: Understanding the Fundamentals of Infosec in</p>
      <sec id="sec-6-1">
        <title>Theory and Practice, Syngress, Burlington, 2011.</title>
        <p>[16] R. Anderson, Security Engineering: A Guide to Building Dependable Distributed Systems, Wiley,</p>
        <p>New York, 2020.
[17] R.E. Smith, Elementary Information Security, Jones &amp; Bartlett Learning, Burlington, 2019.
[18] R.A. Grimes, Hacking Multifactor Authentication, Wiley, New York, 2020.
[19] R. Das, The Science of Biometrics: Security Technology for Identity Verification, Routledge,</p>
      </sec>
      <sec id="sec-6-2">
        <title>Abingdon-on-Thames, 2018.</title>
        <p>[20] R.D. Labati, V. Piuri, F. Scotti, Touchless Fingerprint Biometrics (Series in Security, Privacy and</p>
      </sec>
      <sec id="sec-6-3">
        <title>Trust), CRC Press, Boca Raton, 2015.</title>
        <p>[21] J. Wiles, T. Gudaitis, J. Jabbush, R. Rogers, S. Lowther, Low Tech Hacking: Street Smarts for</p>
      </sec>
      <sec id="sec-6-4">
        <title>Security Professionals, Syngress, Burlington, 2012.</title>
        <p>[22] J.M. White, Security Risk Assessment: Managing Physical and Operational Security,
Butterworth</p>
      </sec>
      <sec id="sec-6-5">
        <title>Heinemann, Oxford, 2014.</title>
        <p>[23] L. Bock, Identity Management with Biometrics: Explore the latest innovative solutions to provide
secure identification and authentication, Packt Publishing, Birmingham, 2020.
[24] IFPO, S.J. Davies, B.D. Hertig, Security Supervision, and Management: Theory and Practice of</p>
      </sec>
      <sec id="sec-6-6">
        <title>Asset Protection, Butterworth-Heinemann, Oxford, 2015.</title>
        <p>[25] M.I. Kaplan, B.P. Lang, S.C. Scheidt, Cybersecurity Defense and Operations, Phase2 Advantage,</p>
      </sec>
      <sec id="sec-6-7">
        <title>Savannah, 2021.</title>
        <p>[26] W. Patterson, C.E. Winstin-Proctor, Behavioral Cybersecurity: Applications of Personality</p>
      </sec>
      <sec id="sec-6-8">
        <title>Psychology and Computer Science, CRC Press, Boca Raton, 2019.</title>
        <p>[27] J. LeBlanc, T. Messerschmidt, Identity and Data Security for Web Development: Best Practices,</p>
      </sec>
      <sec id="sec-6-9">
        <title>O'Reilly Media, Sebastopol, 2016.</title>
        <p>[28] S. Boonkrong, Authentication and Access Control: Practical Cryptography Methods and Tools,</p>
      </sec>
      <sec id="sec-6-10">
        <title>Apress, New York, 2020.</title>
      </sec>
    </sec>
  </body>
  <back>
    <ref-list>
      <ref id="ref1">
        <mixed-citation>
          [1]
          <string-name>
            <given-names>S.</given-names>
            <surname>Aanjanadevi</surname>
          </string-name>
          ,
          <string-name>
            <given-names>V.</given-names>
            <surname>Palanisamy</surname>
          </string-name>
          ,
          <string-name>
            <given-names>S.</given-names>
            <surname>Aanjankumar</surname>
          </string-name>
          ,
          <article-title>An improved method for generating biometriccryptographic system from face feature</article-title>
          ,
          <source>Proceedings of the International Conference on Trends in Electronics and Informatics</source>
          ,
          <string-name>
            <surname>ICOEI</surname>
          </string-name>
          <year>2019</year>
          ,
          <volume>8862741</volume>
          , pp.
          <fpage>1076</fpage>
          -
          <lpage>1079</lpage>
          (
          <year>2019</year>
          ). DOI:
          <volume>10</volume>
          .1109/ICOEI.
          <year>2019</year>
          .
          <volume>8862741</volume>
          .
        </mixed-citation>
      </ref>
      <ref id="ref2">
        <mixed-citation>
          [2]
          <string-name>
            <given-names>A.</given-names>
            <surname>Abdellaoui</surname>
          </string-name>
          ,
          <string-name>
            <given-names>Y.I.</given-names>
            <surname>Khamlichi</surname>
          </string-name>
          ,
          <string-name>
            <given-names>H.</given-names>
            <surname>Chaoui</surname>
          </string-name>
          ,
          <article-title>An efficient framework for enhancing user authentication in cloud storage using digital watermark</article-title>
          ,
          <source>International Review on Computers and Software</source>
          ,
          <volume>10</volume>
          (
          <issue>2</issue>
          ), pp.
          <fpage>130</fpage>
          -
          <lpage>136</lpage>
          (
          <year>2015</year>
          ). DOI:
          <volume>10</volume>
          .15866/irecos.v10i2.
          <fpage>5236</fpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref3">
        <mixed-citation>
          [3]
          <string-name>
            <given-names>E.</given-names>
            <surname>Abdellatef</surname>
          </string-name>
          ,
          <string-name>
            <given-names>E.M.</given-names>
            <surname>Omran</surname>
          </string-name>
          ,
          <string-name>
            <given-names>R.F.</given-names>
            <surname>Soliman</surname>
          </string-name>
          ,
          <string-name>
            <given-names>N.A.</given-names>
            <surname>Ismail</surname>
          </string-name>
          ,
          <string-name>
            <given-names>S.E.S.E. Abd</given-names>
            <surname>Elrahman</surname>
          </string-name>
          ,
          <string-name>
            <given-names>K.N.</given-names>
            <surname>Ismail</surname>
          </string-name>
          ,
          <string-name>
            <given-names>M.</given-names>
            <surname>Rihan</surname>
          </string-name>
          ,
          <string-name>
            <given-names>F.E. Abd</given-names>
            <surname>El-Samie</surname>
          </string-name>
          ,
          <string-name>
            <given-names>A.A.</given-names>
            <surname>Eisa</surname>
          </string-name>
          ,
          <article-title>Fusion of deep-learned and hand-crafted features for</article-title>
        </mixed-citation>
      </ref>
    </ref-list>
  </back>
</article>