MG Experimental Evaluation of Adaptive Multi-Agent AI Models for Detecting Stealthy Cyber Attacks in Dynamic Network Environments based on MADDPG MG
محتوى المقالة الرئيسي
الملخص
يواجه الأمن السيبراني تحديات متزايدة نتيجة للهجمات المتطورة والسرية التي تستهدف الشبكات الديناميكية. يهدف هذا البحث إلى استكشاف فعالية نماذج الذكاء الاصطناعي متعددة العوامل القابلة للتكيف في كشف هذه الهجمات باستخدام خوارزمية MADDPG (خوارزمية تدرج السياسة الحتمية العميقة متعددة العوامل). وقد صُممت بيئة شبكة ديناميكية لمحاكاة حركة البيانات الطبيعية والهجمات السيبرانية السرية، حيث يراقب كل عامل جزءًا محددًا من الشبكة ويتخذ قرارات فورية لكشف الهجمات أو التخفيف من آثارها.
تفاصيل المقالة
القسم
هذا العمل مرخص بموجب Creative Commons Attribution 4.0 International License.
كيفية الاقتباس
المراجع
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