A Heuristic Detection Network An Adaptive DDoS Control

Distributed denial of service (DDoS) is a crucial problem for dynamic and stochastic task environments. Most existing DDoS studies are designated for fixed infrastructure networks. In addition, conventional P2P system studies are content centric. In practice, the majority of solutions have adopted centralized defensive design and implementation strategies. In this research, a means providing adaptation to a DDoS detection and control is proposed as the key entity of this study. A generic event driven model is proposed to delineate attack path discovery and adaptive flood control algorithms without transport layer dependencies. This research also proposed a Q function based learning detection. Furthermore, a scalable DDoS detection network is advocated. An implementation of a proof of concept and a simulation test-bed are deliberated