KIBERXAVFSIZLIK TAHDIDLARINI ANIQLASHDA ANN SAMARADORLIGINI CONFUSION MATRIX ASOSIDA BAHOLASH

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Authors

Xo'shboqov Abdulla Xudoymurodovich · Turkmen State Pedagogical Institute named Seidnazar Seydi

Zaripova Mukaddas Djumayozovna · Best High Pressure & Drilling Technology (Austria)

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.

Topics & Keywords

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

Publication Details

Published in: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.19368901

Field-Weighted Citation Impact: 0.00

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KIBERXAVFSIZLIK TAHDIDLARINI ANIQLASHDA ANN SAMARADORLIGINI CONFUSION MATRIX ASOSIDA BAHOLASH

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Abstract

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Publication Details