Mualliflar

  • Jakhongirbek Khabibullaev

DOI:

https://doi.org/10.71337/inlibrary.uz.tinnint.103057

Kalit so‘zlar:

Keywords: Internet of Things information security vulnerability security threats.

Annotasiya

Annotation: Due to the sharply increasing demand from users for Internet of 
Things  (IoT)  technologies,  there  has  arisen  a  need  for  high-quality  information 
protection of the Internet of Things network. This article examines the most important 
issues  related  to  IoT  information  security  and  proposes  solutions  to  the  problems 
identified.  


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ELEMENTS OF INFORMATION SECURITY OF THE

“INTERNET OF THINGS”

Jakhongirbek Khabibullaev

Tashkent University of Information Technologies

named after Muhammad Al-Xorazmiy

Annotation:

Due to the sharply increasing demand from users for Internet of

Things (IoT) technologies, there has arisen a need for high-quality information
protection of the Internet of Things network. This article examines the most important
issues related to IoT information security and proposes solutions to the problems
identified.

Keywords:

Internet of Things, information security, vulnerability, security

threats.

At present, there is significant theoretical and practical interest in the impact of

“machine-to-machine” interactions on the continuity and reliability of systems that
support the functioning of society. Global information networks are actively
developing in a direction that enables the connection of physical and virtual objects
based on ICT (Information and Communication Technologies), with the aim of
providing innovative services to society — for example, in the areas of shopping
(contactless payments), vehicle control via smartphones, and energy consumption
(reducing usage through remote monitoring using sensors and video cameras).This
phenomenon has been termed the “Internet of Things.”

The key features of the Internet of Things are as follows:
1.

Physical objects, united in a vast computing network, can interact with

each other and with the external world.

2.

The IoT network involves the interaction of computers, smartphones,

various powerful computing devices, and virtually any physical items.

3.

The Internet of Things significantly simplifies human life, without

requiring human intervention in the functioning of interconnected devices that monitor
the surrounding environment using digital tools [2, p. 341].

4.

The main objective of the system is to improve people's lifestyles and

enhance their quality of life by fostering unity through artificial intelligence in the
interaction between all members of society and governing bodies.

5.

The network offers wide-ranging prospects:

-

In the agricultural sector

:

The relative condition of the soil can be

addressed by using sensor data on soil moisture, topsoil temperature, and plant
nutrition;


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-

In industry

:

A reduction in scheduled equipment inspections is possible

thanks to sensor readings [1, p. 157];

-

In goods logistics: Package tracking along the entire delivery route

simplifies its transfer from the manufacturer to the store or from the store to the
customer;

-

In the construction of smart homes: Conservation of water, electricity, and

gas through the installation of smart meters; managing home security; programming
home functions according to the specific user’s needs;

-

In medicine: Devices that collect and transmit data to an IT database for

further analysis; real-time monitoring of patient status; automatic alerts to specialists
about any changes; reduced use of high-energy-consuming medical equipment; cost
savings on surgeries; health monitoring through regular tracking of physical indicators
using wearable devices such as wristbands, smart clothing, and footwear;

-

In retail: Targeted interaction with each network-connected customer

during product searches; analysis of sales volumes; automatic price increases or
reductions to maximize sales and avoid overstocking;

-

In forensics: Monitoring of criminals under house arrest using biometric

chips;

-

In environmental protection: Monitoring of animal populations by

detecting them on the Earth’s surface via the radio signal emitted from a device
attached to the animal;

-

In transportation

:

AI will be able to independently assess traffic

conditions, plan and adjust the travel route without human involvement.

One of the main problems of the Internet of Things (IoT) today is ensuring the

cybersecurity of this network. This problem is caused by several factors: the rapidly
changing situation in the industry; the desire of numerous individuals and organizations
to gain control over the network and impose their own rules and regulations; and
unrealistic forecasts. A critical role is played by technical vulnerabilities, which
include: not necessarily obvious or feedback-based active influence of a subject on an
object; the negative impact of a combination of conditions and factors that pose a threat
to information security; and intentional malicious actions aimed at violating the
availability, integrity, and confidentiality of data.

By being aware of vulnerabilities and flaws in the configuration of the system's

application or control software, an individual with malicious intent can gain control
over a device, embed a malicious element, or alter its program [3, p. 12].

Natural threats — such as earthquakes, fires, and floods — can also cause

significant damage to computer systems. To minimize their negative impact, the best
solution is to use backup systems.


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Significant malicious damage to IoT systems can come from individuals both

with authorized access to the network and those operating outside of it. These may
include inexperienced hackers using easily accessible hacking tools, as well as
professionals who are well aware of system vulnerabilities and can predict its response
to specific codes and scripts.

The new generation of Internet of Things (IoT) devices already has embedded

security threats, providing opportunities for attacks even by manufacturers themselves.

Malicious actions aimed at disrupting the availability, integrity, and

confidentiality of data are often driven by the attacker’s personal ambitions or the
pursuit of financial gain. These actions can take many forms:

-

Active attacks on the network to test whether an internet provider can view

the data packet and determine which websites and web applications are being accessed;

-

Passive attacks to search for information that is available for theft;

-

Proximity-based attacks initiated from websites by compromised

computers;

-

Exploitation of insiders, i.e., individuals who have access to sensitive data

that is unavailable to the general public.

-

Intercepting or substituting messages while maintaining the hacker’s

anonymity in the communication channel between correspondents;

-

Compromising the channel by violating transmission protocols through

distortion or alteration of information;

-

Gaining access to a website using credentials obtained fraudulently from

a user who lacks basic network security awareness, often via a fake login page [5, p.
39].

D. Violation of personal privacy, manifested in:
-

Intellectual analysis of information, allowing the identification of facts

that should not be disclosed in databases;

-

Obtaining confidential information about individuals or organizations

through hacking or use of malicious software;

-

Unauthorized eavesdropping on user conversations;

-

Tracking the location and movements of users who wish to remain

anonymous, using a UID;

-

Password duplication attacks, by guessing combinations of letters and

digits or using brute-force methods via specialized tools.

E.

Unauthorized use of the network to gain financial profit by stealing

intellectual property, personal data, or the set of associations and perceptions related to
a product or service.
F. Attacks on the technological control mode and operational state of devices:

Denial-of-service attacks, resulting in system failure;


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Control of system infrastructure through Trojans or viruses.

To date, there is not a single truly secure Internet of Things (IoT) system in the world.
The main reasons for this are:

-

the manufacturer’s desire to minimize the cost of their product;

-

the

lack of necessary standards and guidelines for ensuring the

information security of the network;

-

the inability to authorize and authenticate many components used in the

system when connected to the global network [4, p. 280].
A systematic and purposeful effort is required to create effective information security
for the Internet of Things (IoT), which includes:

-

monitoring device vulnerabilities during the manufacturing stage;

-

applying modern standards for developing secure applications during

software creation;

-

creating opportunities and conditions for software updates;

-

minimizing the vulnerability of hardware-dependent code by managing

logistics from production to installation at the target site;

-

preventing the physical capture of structures that receive and process

certain types of information or generate sensory input;

-

enhancing the security protection level

of various perception nodes in

sensor networks deployed in environments without human oversight;

-

preventing sensor-related issues such as gateway node capture, data

leakage, data integrity violation, power exhaustion, overloads, denial of service,
installation of unauthorized devices, or unauthorized duplication of nodes;

The application of the Internet of Things in many fields is still significantly

limited due to information security issues. However, a thorough analysis of the
situation, achievements in this area, and expert recommendations will help address the
accumulated challenges and promote the further implementation of this technology into
practice.

Literature

1.

Буянов Б.Я., Верба В.А. Мультиагентные модели сложных социо-
технических систем // В сборнике: Системный анализ в проектировании и
управлении. Сборник научных трудов XX Международной научно-
практической конференции. 2016. С. 155-158.

2.

Калинин А. С. Интернет вещей. Принципы, технологии, перспективы
развития // Молодой ученый. 2019. № 2 (240). С. 341–342.

3.

Кожевникова И. С. Тенденции безопасности интернет-вещей // Молодой
ученый. 2017. № 13 (147). С. 11-14.

4.

Шиков С. А., Ивлиев С. Н. Интернет вещей: новые угрозы информационной
безопасности // Материалы XX науч.-практ. конференции молодых ученых,


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ISSN:3030-3621

аспирантов и студентов Национального исследовательского Мордовского
государственного университета им. Н. П. Огарева. Саранск, 2016. С. 278–283.

5.

Шиков С. А. Проблемы информационной безопасности интернет вещей //
Вестник Мордовского университета. 2017. Т. 27, № 1. С. 27–40.

Bibliografik manbalar

Literature

Буянов Б.Я., Верба В.А. Мультиагентные модели сложных социо-

технических систем // В сборнике: Системный анализ в проектировании и

управлении. Сборник научных трудов XX Международной научно-

практической конференции. 2016. С. 155-158.

Калинин А. С. Интернет вещей. Принципы, технологии, перспективы

развития // Молодой ученый. 2019. № 2 (240). С. 341–342.

Кожевникова И. С. Тенденции безопасности интернет-вещей // Молодой

ученый. 2017. № 13 (147). С. 11-14.

Шиков С. А., Ивлиев С. Н. Интернет вещей: новые угрозы информационной

безопасности // Материалы XX науч.-практ. конференции молодых ученых, аспирантов и студентов Национального исследовательского Мордовского

государственного университета им. Н. П. Огарева. Саранск, 2016. С. 278–283.

Шиков С. А. Проблемы информационной безопасности интернет вещей //

Вестник Мордовского университета. 2017. Т. 27, № 1. С. 27–40.