KIBERXAVFSIZLIK TAHDIDLARINI ANIQLASHDA ANN SAMARADORLIGINI CONFUSION MATRIX ASOSIDA BAHOLASH

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Originally published in TECHNICAL SCIENCE RESEARCH IN UZBEKISTAN; Vol. 4 No. 3 (2026): TECHNICAL SCIENCE RESEARCH IN UZBEKISTAN; 111-113.
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Xo‘shboqov, Abdulla and Zaripova, Mukaddas (2026) KIBERXAVFSIZLIK TAHDIDLARINI ANIQLASHDA ANN SAMARADORLIGINI CONFUSION MATRIX ASOSIDA BAHOLASH. TECHNICAL SCIENCE RESEARCH IN UZBEKISTAN; Vol. 4 No. 3 (2026): TECHNICAL SCIENCE RESEARCH IN UZBEKISTAN; 111-113.

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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. 

Item Type: Article
Additional Information: Imported from Technical Science Research in Uzbekistan
SWORD Depositor: Admin User
Depositing User: Admin User
Date Deposited: 28 Sep 2026 22:15
Last Modified: 28 Sep 2026 22:15
URI: https://universalpublishings.uz/id/eprint/15763

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