A Cooperative Multi-Agent Learning Approach for Avoiding DRDoS Attack

Abstract

In this paper, we propose a method for mitigating the distributed reflective denial-of-service (DRDoS) attacks using cooperative multi-agent learning. We consider how to apply the specific packet filtering mechanisms and locate the mitigating mechanisms. Finally, we present the experiment environment to confirm how the mechanism worked effectively. We conduct a simulation-based analysis of packet flows on DRDoS attacks.