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Distributed Collaborative DDoS detection method based on traffic classification features

机译:基于流量分类功能的分布式协作DDOS检测方法

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This paper classifies the DDoS attack prevention technology from the view of defense stage and defensive position. DDoS attacks have relatively low proportion of normal flow in the boundary network at the attack traffic, and the characteristics of the network are not very obviously. For these characteristics, design and implement collaborative detection of DDoS attacks method are proposed. Simulation results show that the distributed collaborative DDoS detection method has good timeliness, accuracy and scalability than the single-point detection and route-based distributed detection scheme.
机译:本文从防御阶段和防御位置进行了侦查防范技术。 DDOS攻击在攻击流量的边界网络中具有相对较低的正常流量,并且网络的特性不是很明显。对于这些特性,提出了设计和实施DDOS攻击方法的协作检测。仿真结果表明,分布式协作DDOS检测方法具有比单点检测和基于路由的分布式检测方案的及时性,准确性和可伸缩性良好。

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