Cloud Network DDoS Mitigation using Multi-Agent AI Systems
Keywords:
Multi-agent systems, AI, DDoS attack mitigationAbstract
DDoS threatens cloud reliability. These attacks overwhelm target systems with traffic, interrupting services and costing money. Although effective, typical defenses cannot handle cloud DDoS attacks' dynamic and massive nature. Automatic, adaptive, real-time AI multi-agent systems reduce DDoS attacks. Multi-agent AI systems identify, assess, and mitigate cloud DDoS attacks using collaborative decision-making and machine learning. Multi-agent DDoS response may be more efficient and scalable using cloud-based agents. The research examines multi-agent AI traffic analysis, anomaly detection, dynamic resource allocation, false positives, scalability, and system integration.
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