KIBERXAVFSIZLIK TAHDIDLARINI ANIQLASHDA ANN SAMARADORLIGINI CONFUSION MATRIX ASOSIDA BAHOLASH

Xo‘shboqov Abdulla Xudoymurodovich; Zaripova Mukaddas Djumayozovna

Authors

Xo‘shboqov Abdulla Xudoymurodovich Termiz davlat universiteti Axborot texnologiyalari fakulteti Kompyuter tizimlari va ularning dasturiy ta‘minoti birinchi kurs magistranti
Zaripova Mukaddas Djumayozovna Termiz davlat universiteti Kompyuter va dasturiy injiniring kafedrasi, dotsent

Keywords:

kiberxavfsizlik, sun’iy neyron tarmoqlar, tahdidlarni aniqlash, confusion matrix, model samaradorligi, haqiqiy pozitiv, haqiqiy negativ, noto‘g‘ri pozitiv, noto‘g‘ri negativ, F1-score, aniqlik, sezgirlik

Abstract

Bugungi kunda kiberxavfsizlik tahdidlarining tezkor va samarali aniqlanishi tashkilotlar va tizimlar uchun muhim ahamiyat kasb etadi. Sun’iy neyron tarmoqlar (Artificial Neural Networks, ANN) ushbu tahdidlarni avtomatik ravishda aniqlashda samarali vosita sifatida keng qo‘llanilmoqda. Ushbu maqolada ANN yordamida tahdidlarni aniqlashning samaradorligi confusion matrix asosida baholandi.

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