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ZENODO
Article . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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SUN'IY INTELLEKT ASOSIDA FISHING VA ZARARLI DASTURLARNI ERTA ANIQLASH UCHUN NEYRON TARMOQLARNI QO'LLASH

Authors: Muzaffar Qirg'izaliyev Odiljon o'g'li;

SUN'IY INTELLEKT ASOSIDA FISHING VA ZARARLI DASTURLARNI ERTA ANIQLASH UCHUN NEYRON TARMOQLARNI QO'LLASH

Abstract

Raqamli xavfsizlikning keskin o‘sib borayotgan muammolari orasida fishing va zararli dasturlar (malware)ni erta aniqlash masalasi alohida ahamiyatga ega. Ushbu maqolada sun’iy intellekt (SI) va ayniqsa, chuqur o‘rganishga asoslangan neyron tarmoqlar yordamida fishing xabarlarini, zararli fayllarni va tarmoq trafikidagi shubhali faoliyatni aniqlash usullari tahlil qilinadi. Tadqiqotda konvolyutsion (CNN) va rekurrent (RNN, LSTM) tarmoqlarni qo‘llash samaradorligi o‘rganildi. Natijalar shuni ko‘rsatadiki, neyron tarmoqlar yordamida erta aniqlash aniqligi 95% dan yuqori bo‘lishi mumkin.

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    popularity
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green