Zararli dasturlarni aniqlash va bartaraf etishda sun’iy intellekt usullaridan foydalanish
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Sun’iy intellekt##common.commaListSeparator## mashinali o‘qitish##common.commaListSeparator## chuqur o‘qitish##common.commaListSeparator## zararli dasturlarni aniqlash##common.commaListSeparator## zararli dasturlarni yo‘q qilish##common.commaListSeparator## kiberxavfsizlik##common.commaListSeparator## tahdid razvedkasi##common.commaListSeparator## hodisalarga javob berishAnnotatsiya
Ushbu maqolada sun’iy intellekt (SI), ayniqsa mashinali o‘qitish (MO‘) va chuqur o‘qitish (ChO‘) zamonaviy zararli dasturlarning ortib borayotgan muammolari sharoitida zararli dasturlardan himoyani qanday o‘zgartirayotgani ko‘rib chiqiladi. U SI ning tahdidlarni aniqlashni yaxshilash, hodisalarga javob berishni avtomatlashtirish va turli xil zararli dasturlarni tahlil qilish usullari bo‘yicha proaktiv himoyani ta’minlashdagi rolini ta’kidlaydi. Maqola shuningdek, ma’lumotlar sifati, modelni talqin qilish va raqib hujumlari kabi asosiy muammolarni o‘z ichiga oladi. Umuman olganda, u rivojlanayotgan tahdidlarga qarshi kiberxavfsizlikni kuchaytirishda SI ning muhim rolini e’tirof etadi.
##submission.citations##
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2. ResearchGate. (2024, December 24). Artificial intelligence in cybersecurity: A comprehensive review and future direction. https://www.researchgate.net/publication/386882116_Artificial_Intelligence_in_Cybersecurity_A_Comprehensive_Review_and_Future_Direction
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