ARTIFICIAL INTELLIGENCE-BASED CYBERATTACKS AND THEIR PREVENTION

Авторы

  • Aybek Imamaliyev Автор
  • Otabek Quldoshev Автор

Ключевые слова:

Keywords: artificial intelligence, natural language processing, algorithms, cutting-edge technologies, AI-based cyberattacks, phishing attacks, damaging systems, encrypts, Kalit so’zlar: sun’iy intellect, tabiiy tilni qayta ishash, algoritmlar, ilg‘or texnologiyalar, SIga asoslangan kiberhujumlar, onlayn aldash orqali hujumlar, buzilgan tizimlar, shifirlar

Аннотация

Abstract: Artificial intelligence enables cybercriminals to enhance the precision and effectiveness of their attacks. AI-driven cyberattacks, such as automated phishing, deepfake frauds, and botnet attacks, are becoming more sophisticated. This article analyzes the main types of AI-based cyberattacks and their mechanisms. It also discusses preventive measures, including AI-powered security systems, anomaly detection, and automated defense strategies.

         Annotatsiya: Sun’iy intellekt kiberjinoyatchilar uchun yangi imkoniyatlar yaratib, hujumlarning aniqligi va samaradorligini oshirmoqda. AI yordamida avtomatlashtirilgan phishing, deepfake firibgarliklari va botnet hujumlari tobora kuchaymoqda. Ushbu maqolada AI asosida amalga oshiriladigan kiberhujumlarning asosiy turlari va ularning ishlash mexanizmlari tahlil qilinadi. Shuningdek, AI bilan mustahkamlangan xavfsizlik tizimlari, anomaliya tahlili va avtomatlashtirilgan mudofaa strategiyalari kabi oldini olish usullari muhokama qilinadi.

Биографии авторов

  • Aybek Imamaliyev

    Associate Professor at the Department of Cryptology, Tashkent University of Information Technologies named after Muhammad al-Khwarizmi

  • Otabek Quldoshev

    Otabek Quldoshev
    A student at Tashkent University of Information Technologies named after Muhammad al-Khwarizmi

Опубликован

2025-02-18

Как цитировать

ARTIFICIAL INTELLIGENCE-BASED CYBERATTACKS AND THEIR PREVENTION. (2025). Лучшие интеллектуальные исследования, 39(1), 210-220. https://scientific-jl.com/luch/article/view/2381