SUN’IY INTELEKT VA CHUQUR O‘RGANISHLAR ASOSIDA KIBERXAVFSIZLIKNI YAXSHILASH
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kiberxavfsizlik, sun’iy intellekt, xavfsizlik metodlari, chuqur o‘rganish.Abstrak
So‘nggi paytlarda sun’iy intellekt imkoniyatlaridan kiberxavfsizlik yo‘nalishi bo‘yicha keng doirada foydalanishga urinishlar bo‘lmoqda. Shuning uchun, ushbu maqolada foydalanuvchilarning tarmoqqa kirish autentifikatsiyasi, tarmoqdagi vaziyatdan xabardorlik, xavfli xatti-harakatlar monitoringgi va noodatiy harakatlarni aniqlash sohalaridagi sun’iy intellektdan foydalanish bo‘yicha mavjud bo‘lgan bir qator so‘nggi adabiyotlar va yutuqlar tahlil qilinadi. Mazkur maqolada, shuningdek, sun’iy intellekt va kiberxavfsizlikning o‘zaro aloqador jihatlari ham batafsil tahlil etiladi.
Iqtiboslar
Yisroel Mirsky, Tom Mahler, Ilan Shelef, and Yuval Elovici. 2019. CT-GAN: Malicious Tampering of 3D Medical Imagery using Deep Learning. In 28th USENIX Security Symposium (USENIX Security 19). USENIX Association, Santa Clara, CA, 461–47.
Vernit Garg and Laxmi Ahuja. 2019. Password Guessing Using Deep Learning. In 2019 2nd International Conference on Power Energy, Environment and Intelligent Control (PEEIC). IEEE, 38–40.
Д.Е. Намиот, Е.А. Ильюшин, И.В. Чижов. Искусственный интеллект и кибербезопасность. International Journal of Open Information Technologies ISSN: 2307-8162 vol. 10, no. 9, 2022.
Applications for artificial intelligence in Department of Defense cyber missions https://blogs.microsoft.com/on-the-issues/2022/05/03/artificialintelligence-department-of-defense-cyber-missions/
Fedushko, Solomia. “Artificial Intelligence Technologies Using in Social Engineering Attacks.” (2020).
Smith, Hannah, and Katherine Mansted. “Weaponised deep fakes.” (2020).
The Liar’s Dividend: The Impact of Deepfakes and Fake News on Politician Support and Trust in Media https://gvu.gatech.edu/research/projects/liars-dividend-impact-deepfakes-andfake-news-politician-support-and-trust-media
