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Role of Artificial Intelligence in the Computer Network: Review

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 Review JOURNAL OF UNIVERSITY OF BABYLON
Vol.32; No.3.| 2024
For Pure and Applied Sciences (JUBPAS)
‫مــجلــة جــــامعة بــابــل للعلــــــــوم الصـــرفــة والتطــبيقيــة مــجلــة جـــــامعة بــــابــل للعلــوم الصـــرفــة والتطــبيقيــة مـجلــة جـــامعة بـــابــل للعلـــوم الصـرفــة والتطـــــــبيقيــة‬

Role of Artificial Intelligence in the Computer

ISSN: 2312-8135 | Print ISSN: 1992-0652

Network: Review
Nahla Ibraheem Jabbar 1*, Shaymaa Shnain 2 and Ali Obaid Imarah 3
1College of Engineering, University of Babylon, eng.nahla.ibraheem@uobabylon.edu.iq, Hilla, Babylon, Iraq.
2College of Basic Education, University of Babylon, shaima.almorshedy3@uobabylon.edu.iq, Hilla, Babylon, Iraq.
3College of Engineering, University of Babylon, aliumara@uobabylon.edu.iq, Hilla, Babylon, Iraq.

*Corresponding author email: eng.nahla.ibraheem@uobabylon.edu.iq; mobile: 07713554402

‫دور الذكاء االصطناعي في شبكة الكمبيوتر‬

3
‫ علي عبيد عماره‬،2 ‫ شيماء عبد الحسين شنين‬،1* ‫نهله ابراهيم جبار‬
‫ العراق‬، ‫ بابل‬،4 ‫ صندوق بريد‬، eng.nahla.ibraheem@uobabylon.edu.iq ، ‫ جامعة بابل‬،‫ كلية الهندسة‬1
‫ العراق‬، ‫ بابل‬، shaima.almorshedy3@uobabylon.edu.iq ،‫ جامعة بابل‬، ‫ كلية التربية االساسية‬2
‫ العراق‬، ‫ بابل‬، aliumara@uobabylon.edu.iq ،‫ جامعة بابل‬،‫ كلية الهندسة‬3

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Accepted: 17/7/2024 Published: 30/9/2024

ABSTRACT
A combination Artificial Intelligence (AI) with networks systems increases from efficiency and
performance of the networks. Today routine life needs huge of data and applications shared between people
that lead to a traffic load on networks, therefore intelligence networks produces are important abilities of
AI in controlling and avoiding troubleshooting. Also AI improves from security and management of
databases .Effective high-intelligent networks operate networks in automation systems .It is one of the
most hopeful computer networks future. The development of artificial intelligence in the computer
network relies on the importance of applications security and cloud computing.
In recent years, a big development has occurred in Artificial Intelligence and majority of computer networks
that leads to the of AI in the applications of network techniques. This paper reviews a role of combination
of Artificial Intelligence with Computer Networks. Discussed two topics combination of AI in the computer
network (Cloud Computing and Security). AI in cloud computing increases efficiency and significant
networking. In addition, reduced the cost and minimized base of clouding. Artificial Intelligence controls
huge amounts of databases in the cloud avoiding problems in heavy traffic networks. AI is a good solution
in cyber-attacks, also solving most problems of security. Today more intelligent interaction with computer
networks. Automate solutions in more application applying successful training and testing data sets.
Artificial intelligence contributes to all fields of life and encourages the development of new technologies
and uses. More robots, data automation, and many applications in the Internet of Things are expected.

Keywords: Artificial intelligence; Computer network; Cloud Computing; Security, Network.

Page | 274
 Review JOURNAL OF UNIVERSITY OF BABYLON
Vol.32; No.3.| 2024
For Pure and Applied Sciences (JUBPAS)
‫مــجلــة جــــامعة بــابــل للعلــــــــوم الصـــرفــة والتطــبيقيــة مــجلــة جـــــامعة بــــابــل للعلــوم الصـــرفــة والتطــبيقيــة مـجلــة جـــامعة بـــابــل للعلـــوم الصـرفــة والتطـــــــبيقيــة‬

ISSN: 2312-8135 | Print ISSN: 1992-0652

INTRODUCTION
Artificial intelligence (AI) is a set of technologies that aim to create systems capable of
understanding, learning, thinking and making decisions similarly to humans. Artificial intelligence
can provide best service technologies in intelligent technologies that improve the quality and
efficiency of the computer network operations and provides expert decision-making producers,
which will solve problems with easier methods, in addition its improves maintenance of the
management of complex of network [1]. Artificial intelligence plays an important role in
developing and improving networks [2]. It is used to improve network performance by improving
the speed and efficiency of communications and improving quality of service. AI is also used to
detect cyberattacks, protect data, and provide network security [3]. In addition, artificial
intelligence is used to analyze data and to make strategic decisions, guide policies and plan in the
field of networking.
The field of cybersecurity has faced big problem in the hacking attacks of various species harming
forms. All attacks caused losing billions of dollars in companies. Security companies are used

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Security Information and Event Management (SIEM). They are examples of artificial intelligence
and natural language processing (NLP).There is another way to solve problems of attack by sorting
data from high risk to low risk and protecting attacks types .Therefore, using AI in the field of
computer network leads to developing the skills of ethical hackers, it is a solution to understanding
security threats, as well as the ability of machine learning to derive a new technique to protect
information and achieve security.
The two popular applications of artificial intelligence in the computer networks are clouding
computing and security. This paper is organized for reviewing role of Artificial Intelligence in
computer network and explain steps of development AI in security network. The following
sections as giving more details in subject.

Artificial Intelligence in Clouding Computing

Hybrid Artificial Intelligence (AI) and Cloud Computing have been fields in recent years .Cloud
computing refers to computing services on the internet also Internet of Things (IoT) Smart devices
connect with (IoT) closely, Cloud computing supports services to IoT applications. Cloud
computing can share and evaluate data to a network, it is sharing resources as shown in Figure (1)

Page | 275
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Vol.32; No.3.| 2024
For Pure and Applied Sciences (JUBPAS)
‫مــجلــة جــــامعة بــابــل للعلــــــــوم الصـــرفــة والتطــبيقيــة مــجلــة جـــــامعة بــــابــل للعلــوم الصـــرفــة والتطــبيقيــة مـجلــة جـــامعة بـــابــل للعلـــوم الصـرفــة والتطـــــــبيقيــة‬

ISSN: 2312-8135 | Print ISSN: 1992-0652

Figure (1) Shows cloud computing [4].

The combination of AI and Cloud Computing has successful potential in the different fields of

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industries, healthcare, finance, manufacturing, and transportation. In this review paper, we will
explore the methodologies and implementation of using AI with Cloud Computing. Computer
resources are centralized on a server, which can be accessed when needed. Internet data packets
generated by (IoT) are easily transmitted through cloud computing .The hybrid of artificial
intelligence with cloud computing provides more efficiency for end-users. In [5] discuss important
role of AI in cloud computing and explain ability of AI in the minimization big data of data
management to increase from security. Data stored in huge data-base needs management to be
more performance and reliable. In [6], Mohammad Riyaz Belgaum et al applied combination AI
and cloud that helps in automation method gives a reliability for analysis data and exchange.
Artificial intelligence enables achievement computers networks in a smart technology. Intelligent
behavior minimized big data and control in software-as-a-service (SaaS) providing accurate
information. AI based on the tools of Machine Learning ,Support Vector Machine and fuzzy
systems, all of which can be used with computer networks .The cloud computing and AI provide
better solutions for different solution in many influential common applications of computer
networks ,specially relays in data network security. B. Rajkumar, T.Gopikiran and
,S.Satyanarayana[7] used a hybrid neural network and cloud computing in the field of medical
diagnosis .This paper developed a user interface design for cloud computing ,the design increases
efficiency and accuracy in the implementation and accuracy of medical cancer diagnosis. X. Wen
and Y. Zheng [8] achieved validity of the reliability in the layer cloud service. This model can be
adapted to other types of related models, the integration of AI provide power effectiveness and
reliability to the new business model. Zhi Zhang et al [9] applied neural network in cloud
computing ,the platform of cloud computing is developed in the hardware and software function
,hardware focuses in single-chip microcomputer design ,the neural network removes the useful
data store .The result of experiments gave improvement in data minimization and faster
computation V. Prasath et al [10] applied fuzzy logic in clouding computing ,the model worked in

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 Review JOURNAL OF UNIVERSITY OF BABYLON
Vol.32; No.3.| 2024
For Pure and Applied Sciences (JUBPAS)
‫مــجلــة جــــامعة بــابــل للعلــــــــوم الصـــرفــة والتطــبيقيــة مــجلــة جـــــامعة بــــابــل للعلــوم الصـــرفــة والتطــبيقيــة مـجلــة جـــامعة بـــابــل للعلـــوم الصـرفــة والتطـــــــبيقيــة‬

ISSN: 2312-8135 | Print ISSN: 1992-0652

specification field of Internet Service Provider(ISP). Fuzzy Inference System (FIS) provide ability
to eliminate the ambiguities occurs in the cloud computing data. This idea is improved by clouding
computing. Pooja Chopra and RPS Bedi [11] improved response time and accuracy of resources
of public cloud by using fuzzy logic. The existing system has Gaussian membership function
contain three input variables and one output variable. Artificial intelligence technology can provide
more intelligent algorithms and service technologies, effectively solve various problems in
computer networks, and develop tools that increase magnitude of the computer network operations
aspect: Lower Costs [12], Automation and Data Management.
Artificial Intelligence in Security of Network
Artificial intelligence is an important tool in the field of information and cyber security. AI
has the ability to improve the security of systems and data and combat cyber-attacks. Cyber
security prevent unauthorized access computer networks from cyber-attacks[13 ]
In recent years the cyber-crimes has been increased in the world[14] , variant attacks effect to
remote work environments .Statically common crime attacks[15] between 2020 to 2022 are

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shown in the figure(2) .

Figure (2) Shows Values of Cyber Attacks[15]

Artificial intelligence is considered a robust way to protect computer network from cyber-attack
because to provide ability expect system. There are several ways in which artificial intelligence
can contribute to enhance information security and recognize attacks, AI can learn from behavioral
models of attacks and recognize abnormal patterns that indicate the presence of an attack or
unwanted activity [16].

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 Review JOURNAL OF UNIVERSITY OF BABYLON
Vol.32; No.3.| 2024
For Pure and Applied Sciences (JUBPAS)
‫مــجلــة جــــامعة بــابــل للعلــــــــوم الصـــرفــة والتطــبيقيــة مــجلــة جـــــامعة بــــابــل للعلــوم الصـــرفــة والتطــبيقيــة مـجلــة جـــامعة بـــابــل للعلـــوم الصـرفــة والتطـــــــبيقيــة‬

ISSN: 2312-8135 | Print ISSN: 1992-0652

AI can predict potential attacks and warn information security teams before they happen. Artificial
intelligence can improve detection systems that monitor various networks and systems, identifying
threats and attacks more quickly than a human can improve biometric security. AI techniques can
be used in biometric and facial authentication to verify the identity of users and ensure that only
authorized people have access to sensitive information.
Artificial intelligence can analyze malware patterns and suspicious files to detect and prevent
them. However, it should be noted that AI is not a complete solution and should be combined with
other methods of information security such as two-factor verification, software updating, and
security training for employees. Cybersecurity requires comprehensive efforts to prevent threats
and protect sensitive information because cybersecurity not give suitable protection from attack
[17]. The general AI tools can be applied in security system are: (ANNs, Robots, Deep Learning,
Fuzzy and Data Mining). Dipankar et al[18] discussed Machine Learning (ML) works on cyber
security, the fundamental of proposed ML focused on features extraction for reducing dimension
and classification. ML application in cyber security have taken an important role in the cyber

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security ML system. ML works in the detection malware, which has ability to inform
characteristics of the features detection of malware in advance [19]. The neural network (NN)
has ability to recognize attack in cyber security .NN requires initial training and testing, it can
recognize unknown attack .In [20] Artificial Neural Network recognized type of attack ,which it
is achieve a higher accuracy in classification .It approximate 99% of known attacks types and
accuracy 87% types unknown of attacks .Halenar Igor et al improved the security of control
systems communication ,it can classify data packet successfully, experiment selected 5000 sets,
it is used 2000 set in the learning neural network also group of 1000, 2000 and 3000 set for
testing[ 21].
In general, Artificial intelligence techniques are used in network security at several levels,
including:
1- Intrusion detection: Artificial intelligence techniques can be used to detect bad intrusion
attempts and identify unusual patterns of malicious activity within the network.
2- Attack prevention: Artificial intelligence can be used to analyze and monitor suspicious
activities and identify them before they reach weak points in the system.
3- Immediate response: Artificial intelligence can be used to react immediately after discovering
attacks and dealing with them before any damage occurs.
4-Predictive analysis: Artificial intelligence techniques can be used to analyze data and trends and
predict any malicious activities that may occur in the future.

Artificial Intelligence with Internet of Things

Artificial Intelligence (AI) and the Internet of Things (IoT) are both deal with independently; AI
is considered in itself a revolution occurs in the world of technology. As for the technology of
Internet of Things, it is progress and development when we combine them, we generate the

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 Review JOURNAL OF UNIVERSITY OF BABYLON
Vol.32; No.3.| 2024
For Pure and Applied Sciences (JUBPAS)
‫مــجلــة جــــامعة بــابــل للعلــــــــوم الصـــرفــة والتطــبيقيــة مــجلــة جـــــامعة بــــابــل للعلــوم الصـــرفــة والتطــبيقيــة مـجلــة جـــامعة بـــابــل للعلـــوم الصـرفــة والتطـــــــبيقيــة‬

ISSN: 2312-8135 | Print ISSN: 1992-0652

artificial intelligence system for things. In short, we can generate digital mind. For Artificial
Intelligence learn from data in a method more intelligent. When artificial intelligence is combined
to the Internet of Things due to devices works with intelligence facilities like data analyzing, make
decisions, and generalized data without intervention by any help from user. In the recent year AIoT
a topic for researchers to improve facilities in many applications. Combination of Artificial
Intelligence and Internet of Things are used in the farming for getting smart sustainable agriculture
[22]. Development of hybrid of AI and Internet of Things increased in different application in
[23]. Design smart healthcare system has ability to diagnosis disease, it is achieving accuracy
approximate 97.26 percent in the diabetes disease. The relationship between the Internet of Things
and artificial intelligence is strong, because the Internet of Things will generate a large amount of
data, and artificial intelligence will analyze this huge data to extract useful data. The concept of
AIoT is still relatively new, and there are many possibilities to improve industry sectors such as
the enterprise sector, industrial and consumer products and services, by using Internet of Things
data to automate tasks in the workplace. Big data stream due to a huge of data related in cloud

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patient’s information therefore need intelligent way for processing information [24]. Machine
Learning applied real-time processing and distributed data resources between different disease
[25]. Use the deep learning method in the Internet of Things (IoT) to be able to identify and assign
a special layer to each device with a suggested name A IoT and prove the success of the system in
terms of responding to the assignment of computing tasks reasonably. Ravi Teja discusses
effective using AI with IoT in society life [26]. The future of artificial intelligence and the
challenges facing the world of technology The Internet of Things (IoT) and Artificial Intelligence
(AI) are the two most important interests in the current business companies. It is expected shortly
future that many applications will include the two most important areas in the world of technology
Acknowledgments:

Conflict of interests.
There are non-conflicts of interest

References
[1]L. Tredinnick, “Artificial intelligence and professional roles,” Business Information Review, vol. 34, no.
1, pp. 37–41, Mar. 2017, doi: 10.1177/0266382117692621.
[2] Y. Zhang, S. Balochian, P. Agarwal, V. Bhatnagar, and O. J. Housheya, “Artificial intelligence and its
applications,” Mathematical Problems in Engineering, vol. 2014, pp. 1–10, Jan. 2014,
doi: 10.1155/2014/840491.
[3]Matthew N. O. Sadiku, Omobayode I. Fagbohungbe, and Sarhan M. Musa, “Artificial Intelligence in
Cyber Security,” International Research Journal of Modernization in Engineering Technology and
Science, vol. 6, no. 5, May 2020, pp. 39-42.

Page | 279
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Vol.32; No.3.| 2024
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‫مــجلــة جــــامعة بــابــل للعلــــــــوم الصـــرفــة والتطــبيقيــة مــجلــة جـــــامعة بــــابــل للعلــوم الصـــرفــة والتطــبيقيــة مـجلــة جـــامعة بـــابــل للعلـــوم الصـرفــة والتطـــــــبيقيــة‬

[4] Ms. N. Rajeswari, “ Overview of Cloud Computing And its Types, ”2019 JETIR March 2019, Volume 6,

ISSN: 2312-8135 | Print ISSN: 1992-0652

Issue 3 (ISSN-2349-5162).
[5] Y. Devrukhkar and S. Lankennavar, “ARTIFICIAL INTELLIGENCE IN CLOUD COMPUTING,” International
Research Journal of Modernization in Engineering Technology and Science, Dec. 2022,
doi: 10.56726/irjmets31922.
[6] M. R. Belgaum, Z. Alansari, S. Musa, M. M. Alam, and M. S. Mazliham, “Role of artificial intelligence in
cloud computing, IoT and SDN: Reliability and scalability issues,” International Journal of Power
Electronics and Drive Systems/International Journal of Electrical and Computer Engineering, vol.
11, no. 5, p. 4458, Oct. 2021, doi: 10.11591/ijece.v11i5.pp4458-4470.
[7] T. G. S. S. BRajkumar, “IJCTT - Neural Network Design in Cloud Computing,”
https://ijcttjournal.org/archives/ijctt-v4i2p102.
[8] X. Wen and Y. Zheng, “The Application of Artificial Intelligence Technology in Cloud Computing
Environment Resources," in Journal of Web Engineering, vol. 20, no. 6, pp. 1853-1866, September
2021, doi: 10.13052/jwe1540-9589.2067.

info@journalofbabylon.com | jub@itnet.uobabylon.edu.iq | www.journalofbabylon.com

[9] Zhang, Zhi, Liwei Wang, , Liu, Ruiying, Fan, Jinghang, ”Development of Cloud Computing Platform Based
on Neural Network, "Mathematical Problems in Engineering, 2022, 1513081, 9 pages, 2022.
https://doi.org/10.1155/2022/1513081.
[10]V. Prasath, “ Fuzzy Logic In Cloud Computing ,” International Journal of Engineering Research &
Technology (IJERT), Vol. 2 Issue 3, March. 2013
[11]Pooja Chopra and RPS Bedi, “ Fuzzy Logic Based Resource Provisioning in Cloud Computing, ”Advance
Engineering technology and application ,Vol .8,2019.
[12]Yuvraj.S Devrukhkar, Kirti Randhe, Sunil.P Lankennavar, “ Artifical Intellgent in Cloud Computing ,
”International Research Journal of Modernization in Engineering Technology and Science,
Volume.04,Dec. 2022.
[13] M. N. O. Sadiku, O. I. Fagbohungbe, and S. M. Musa, “Artificial intelligence in cyber security,”
International Journal of Engineering Research and Advanced Technology, vol. 06, no. 05, pp. 01–
07, Jan. 2020, doi: 10.31695/ijerat.2020.3612.
[14]Greg Allen and Taniel Chanl, “Artificial Intelligence and National Security C, ” A study on Intelligence
Advanced Research Projects Activity (IARPA)JULY 2017.
[15]Anna Fleck, “ Cybercrime Expected To Skyrocket in Coming Year , ”Statista Technology Market Outlook
,National Cyber Security Organizations ,FBI,IMF ,November 2022.
[16] J. Wan, J. Yang, Z. Wang and Q. Hua, “Artificial Intelligence for Cloud-Assisted Smart Factory, ” IEEE
Access, vol. 6, pp. 55419-55430, 2018, doi: 10.1109/ACCESS.2018.2871724
[17] R. Calderon, “The benefits of artificial intelligence in cybersecurity,” La Salle University Digital
Commons. https://digitalcommons.lasalle.edu/ecf_capstones/36
[18] D. Dasgupta, Z. Akhtar, and S. Sen, “Machine learning in cybersecurity: a comprehensive
survey,” Journal of Defense Modeling and Simulation, vol. 19, no. 1, pp. 57–106, Sep. 2020,
doi: 10.1177/1548512920951275.
[19] J.-H. Li, “Cyber security meets artificial intelligence: a survey,” Frontiers of Information Technology &
Electronic Engineering, vol. 19, no. 12, pp. 1462–1474, Dec. 2018, doi: 10.1631/fitee.1800573.

Page | 280
 Review JOURNAL OF UNIVERSITY OF BABYLON
Vol.32; No.3.| 2024
For Pure and Applied Sciences (JUBPAS)
‫مــجلــة جــــامعة بــابــل للعلــــــــوم الصـــرفــة والتطــبيقيــة مــجلــة جـــــامعة بــــابــل للعلــوم الصـــرفــة والتطــبيقيــة مـجلــة جـــامعة بـــابــل للعلـــوم الصـرفــة والتطـــــــبيقيــة‬

[20] M. Karpinski, A. Shmatko, S. Yevseiev, D. Jancarczyk and S. Milevskyi, “ Detection Of Intrusion Attacks

ISSN: 2312-8135 | Print ISSN: 1992-0652

Using Neural Networks,” III Int. Scientific And Practical Conf. “Information Security And
Information Technologies, Sep. 2021.
[21] H. Igor, J. Bohuslava, J. Martin, and N. Martin, “Application of neural networks in computer security,”
Procedia Engineering, ” vol. 69, pp. 1209–1215, Jan. 2014, doi: 10.1016/j.proeng.2014.03.111.
[22] A. A. AlZubi and K. Galyna, “Artificial Intelligence and Internet of Things for Sustainable Farming and
Smart Agriculture, ”IEEE Access, vol. 11, pp. 78686-78692, July 2023.
[23]Dr.K.Sai Manoj, “Disease Diagnosis Model for Smart Healthcare Systems Using Artificial Intelligence
and the Internet of Things,” Journal of Positive School Psychology , Vol. 6, No. 5, 2022.
[24] A. Ed-Daoudy and K. Maalmi, “A new Internet of Things architecture for real-time prediction of
various diseases using machine learning on big data environment,” Journal of Big Data, vol. 6, no.
1, Nov. 2019, doi: 10.1186/s40537-019-0271-7.
[25 ] J. Zhou, Y. Wang, K. Ota, and M. Dong, “ AAIoT: Accelerating artificial intelligence in IoT systems, ”
IEEE Wireless Commun. Lett., vol. 8, no. 3, pp. 825–828, Jun. 2019

info@journalofbabylon.com | jub@itnet.uobabylon.edu.iq | www.journalofbabylon.com

[26] Ravi Teja Yarlagadda “Internet of Things & Artificial Intelligence in Modern Society, ” International
Journal of Creative Research Thoughts (IJCRT) Volume. 6, pp.374 -381 April 2018

Page | 281
 ‫‪Review‬‬ ‫‪JOURNAL OF UNIVERSITY OF BABYLON‬‬
‫‪Vol.32; No.3.| 2024‬‬
‫)‪For Pure and Applied Sciences (JUBPAS‬‬

‫الخالصة‬
‫مــجلــة جــــامعة بــابــل للعلــــــــوم الصـــرفــة والتطــبيقيــة مــجلــة جـــــامعة بــــابــل للعلــوم الصـــرفــة والتطــبيقيــة مـجلــة جـــامعة بـــابــل للعلـــوم الصـرفــة والتطـــــــبيقيــة‬

‫‪ISSN: 2312-8135 | Print ISSN: 1992-0652‬‬

‫حفزت الثورة الرقمية التواصل في العالم عن طريق شبكات الكمبيوتر‪ .‬إن الجمع بين الذكاء االصطناعي ونظام الشبكات يزيد‬
‫من كفاءة وأداء الشبكات‪ .‬تحتاج الحياة الروتينية اليوم إلى كميات هائلة من نقل البيانات والتطبيقات المشتركة بين األشخاص‬
‫مما يودي الى زيادة الضغط على الشبكات‪ ،‬وبالتالي فإن شبكات الذكاء االصطناعي لها قدرات في التحكم وتجنب واستكشاف‬
‫األخطاء وإصالحها‪ ،‬كما يحسن الذكاء االصطناعي من األمان وإدارة قاعدة البيانات‪ .‬شبكات الذكاء االصطناعي ذات الكفاءة‬
‫العالية يمكن ان تعمل على تشغيل الشبكات في نظام التشغيل اآللي‪ .‬وهي واحدة من أكثر شبكات الكمبيوتر الواعدة في المستقبل‪.‬‬
‫إن تطوير الذكاء االصطناعي في شبكة الكمبيوتر يعد ذو أهمية عالية لزيادة أمن التطبيقات والحوسبة السحابية‪.‬‬
‫االستنتاجات‬
‫في السنوات األخيرة‪ ،‬حدث تطور كبير في الذكاء االصطناعي وغالبية شبكات الكمبيوتر مما أدى إلى استخدام قدرات الذكاء‬
‫االصطناعي في تطبيقات تقنيات الشبكات‪ .‬في هذه الورقة نستعرض دور الدمج بين الذكاء االصطناعي وشبكات الحاسوب‪ .‬تم‬

‫‪info@journalofbabylon.com | jub@itnet.uobabylon.edu.iq | www.journalofbabylon.com‬‬

‫مناقشة موضوعين حول دمج الذكاء االصطناعي في شبكات الكمبيوتر (الحوسبة السحابية واألمن)‪ .‬يزداد الذكاء االصطناعي‬
‫في الحوسبة السحابية من الكفاءة والشبكات المهمة‪ .‬باإلضافة إلى ذلك‪ ،‬تم تقليل التكلفة وتقليل قاعدة بيانات التعتيم‪ .‬يتحكم‬
‫الذكاء االصطناعي في كمية هائلة من قاعدة البيانات في السحابة لتجنب المشاكل في شبكات المرور الكثيفة‪ .‬يعد الذكاء‬
‫ذكاء مع‬
‫جيدا في الهجمات السيبرانية‪ ،‬كما أنه يحل معظم المشكالت األمنية‪ .‬نحتاج اليوم إلى تفاعل أكثر ً‬
‫االصطناعي حالً ً‬
‫شبكة الكمبيوتر‪ .‬أتمتة الحل في المزيد من التطبيقات التي تطبق مجموعة بيانات التدريب واالختبار الناجحة‪ .‬يساهم الذكاء‬
‫االصطناعي في جميع مجاالت الحياة ويشجع على تطوير التقنيات واالستخدامات الجديدة‪ .‬ومن المتوقع ظهور المزيد من‬
‫الروبوتات وأتمتة البيانات والعديد من التطبيقات في إنترنت األشياء‪.‬‬
‫الكلمات المفتاحية ‪ :‬الذكاء االصطناعي‪ ,‬شبكات الكومبيوتر ‪ ,‬امنية البيانات ‪ ,‬الحوسبة السحابية‬

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