CYBERSECURITY IN ARTIFICIAL INTELLIGENCE

Authors

  • Aliev Avazbek Ulugbek Ugli,Dzhamatov Mustafa Khatamovich Teacher at the Digital Technologies and Information Security of the Academy of the Ministry of Internal Affairs of the Republic of Uzbekistan,

Keywords:

artificial intelligence, machine learning, cybersecurity.

Abstract

In this article, we consider the relationship between artificial intelligence systems and cybersecurity. In modern interpretation, artificial intelligence systems are machine learning systems, sometimes this is further narrowed to artificial neural networks. The penetration of machine learning into various areas of broader applications If we talk about all information technologies, it is natural that there should be intersections with cybersecurity.

References

ИИ компьютеры переопределил в https://www.technologyreview.com/2021/10/22/1037179/ai- reinventing-computers/

Applications for artificial intelligence in Department of Defense cyber missions https://blogs.microsoft.com/on-the-issues/2022/05/03/artificial- intelligence-department-of-defense-cyber-missions/

Information Security Analysts https://www.bls.gov/ooh/computer-and- information-technology/information-security-analysts.htm

Cybersecurity Workforce Study https://www.isc2.org/News-and- Events/Press-Room/Posts/2021/10/26/ISC2-Cybersecurity-Workforce- Study-Sheds-New-Light-on-Global-Talent-Demand

Kouliaridis, Vasileios, and Georgios Kambourakis. "A comprehensive survey on machine learning techniques for android malware detection." Information 12.5 (2021): 185.

AV-Test Institute https://www.av-test.org/en/statistics/malware/

ML malware detection for https://scholar.google.com/scholar?q=ml+for+malware+detection&hl=e n&as_sdt=0,5

Yuan, Zhenlong, et al. "Droid-sec: deep learning in android malware detection." Proceedings of the 2014 ACM conference on SIGCOMM. 2014.

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Published

2024-12-23

How to Cite

Aliev Avazbek Ulugbek Ugli,Dzhamatov Mustafa Khatamovich. (2024). CYBERSECURITY IN ARTIFICIAL INTELLIGENCE. Ethiopian International Journal of Multidisciplinary Research, 11(12), 460–462. Retrieved from https://eijmr.org/index.php/eijmr/article/view/2331