Zero-Determinant Strategy to Enhance Cooperation in Intrusion Detection Networks

Abstract

With the enlargement of cyberspace scale and development of the network attack technologies, collaborative intrusion detection technology which can effectively improve the security of network systems has been a research focus in recent years. This kind of intrusion detection technology based on distributed computing and cooperation theory is composed of several cooperative intrusion detection systems (IDS). However, individual IDS should be selfish and aim to maximize its own benefits, and might not be effective in cooperative manner in intrusion detection task. This may damage system performance. Therefore, it is of great significance to study the cooperative mechanism among these IDS nodes. In this paper, we simulate the interactions between individual IDS node as a repeated game model by using zero-determinant strategy to deal with the “free riding” behavior, because no matter what the behavior of the adversary is, the game participants can keep the payoffs in the ideal value and achieve the maximum of system payoffs. The numerical results demonstrate that Zero-determinant strategy can enhance the cooperation in intrusion detection networks effectively.