IOTGA ASOSLANGAN ZARARLI DASTURLARNI ANIQLASH MODEL VA ALGORITMLARI
Keywords:
IoT xavfsizligi, zararli dasturlar, malware aniqlash, XGBoost, genetika algoritmi, gibrid modelAbstract
Ushbu maqola IoT tizimlarida zararli dasturlarni aniqlash uchun yangi gibrid xavfsizlik model va algoritmlarini taklif etadi. Zararli dasturlarning mohiyati, turlari (viruslar, troyanlar, ransomware, botnetlar) va IoTga ta’sirini tahlil qilib, mavjud aniqlash usullarining cheklovlari aniqlandi. Taklif etilgan model XGBoost algoritmini genetika algoritmi bilan birlashtirishga asoslanadi va IoT qurilmalarida real vaqt rejimida ishlay olishi uchun engil vaznli komponentlardan iborat. Maqola natijalari IoT tarmoqlarida xavfsizlikni ta’minlashning yangi, samarali yo‘nalishini ochib beradi.
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