Article

KIBERXAVFSIZLIK TAHDIDLARINI ANIQLASHDA ANN SAMARADORLIGINI CONFUSION MATRIX ASOSIDA BAHOLASH

Xo'shboqov Abdulla XudoymurodovichTermiz davlat universiteti Axborot texnologiyalari fakulteti Kompyuter tizimlari va ularning dasturiy ta'minoti birinchi kurs magistrantiZaripova Mukaddas DjumayozovnaTermiz davlat universiteti Kompyuter va dasturiy injiniring kafedrasi, dotsent

Zenodo (CERN European Organization for Nuclear Research)repository2026uz

ABI

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.

Not yet translated

Topics

Advanced Computational Techniques in Science and Engineering Economic and Industrial Development Education, Innovation and Language Studies

Identifiers

DOI: 10.5281/zenodo.19368901

Citations and references

Cited by 00 references

Metrics — AkademScholar