SUN'IY INTELLEKT ASOSIDAGI FISHING VA IJTIMOIY MUHANDISLIK HUJUMLARINI ANIQLASH TIZIMLARI: ZAMONAVIY YONDASHUVLAR TAHLILI
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Abstract
Ushbu maqolada sun'iy intellekt (SI) texnologiyalari asosida fishing va ijtimoiy muhandislik hujumlarini aniqlash tizimlari ilmiy-tahliliy nuqtai nazardan yoritilgan. Avvalo, generativ sun'iy intellektning kiberjinoyatchilar tomonidan qanday tarzda hujumlarni murakkablashtirish uchun qo‘llanilayotgani statistik ma'lumotlar asosida ko‘rsatib o‘tilgan. So‘ngra fishingga qarshi kurashda qo‘llaniladigan asosiy mashinaviy o‘qitish (Random Forest, Gradient Boosting, gibrid ansambl modellari), chuqur o‘qitish va tabiiy tilni qayta ishlash (NLP) usullari, shuningdek xulq-atvor tahliliga asoslangan anomaliyalarni aniqlash tizimlari ilmiy manbalar asosida tahlil qilingan. Turli tadqiqotlarda qo‘lga kiritilgan aniqlik ko‘rsatkichlari (93–99% oralig‘ida) taqqoslangan va ularning amaliy qo‘llanilish sohalari misollar bilan izohlangan.
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References
AI phishing: How attackers achieve 54% click rates in 5 minutes. — Vectra AI, 2026. — URL: https://www.vectra.ai/topics/ai-phishing
Hoxhunt Phishing Trends Report 2026. — Hoxhunt, 2026. — URL: https://hoxhunt.com/blog/ai-phishing-attacks
AI Phishing Statistics 2026: The Inflection Point, the 14× Surge, and Why MFA No Longer Protects You. — Axis Intelligence, 2026. — URL: https://axisintelligence.com/ai-phishing-statistics/
AI Spear Phishing in 2026: Statistics, Trends & CISO Action Guide. — Brightside AI, 2026. — URL: https://www.brside.com/blog/ai-spear-phishing-2026ciso-guide
2024 FBI IC3 Report: Business Email Compromise Remains a MultiBillion Dollar Threat. — Abnormal AI, 2025. — URL: https://abnormal.ai/blog/2024-fbi-ic3-report
Kazi R. Evaluation of Machine Learning Classifiers for Phishing Detection. — University of Victoria, 2016. — URL: https://dspace.library.uvic.ca/items/4fa15a2c-e257-4440-9416-069bb839b06d
Hybrid machine learning model for phishing detection. Proceedings of 2024 IEEE 12th International Conference on Intelligent Systems (IS). — IEEE, 2024. — URL: https://researchportal.port.ac.uk/en/publications/hybrid-machine-learningmodel-for-phishing-detection/
Gradient Boosting Classifier for Phishing Website Detection. — SLIIT Research & Development Archive, 2024. — URL: https://rda.sliit.lk/handle/123456789/4068
Enhancing Phishing Detection: A Machine Learning Approach With Feature Selection and Deep Learning Models. — IEEE Access, 2025. — URL: https://impressions.manipal.edu/open-access-archive/14154
Cost of a Data Breach Report 2025. — IBM, 2025. — URL: https://www.stingrai.io/blog/phishing-statistics-2026 (IBM 2025 hisoboti asosida keltirilgan ma'lumotlar).