Distributed collaborative intrusion detection system for vehicular Ad Hoc networks based on invariant

摘要: Abstract The characteristics of high mobility and rapid topology change the Vehicle Ad Hoc Network (VANET) makes it vulnerable to various malicious attacks. adversary utilizes instability communication link induced by frequent changes structure undermine reliability timeliness vehicular communication, which raises serious security threats. In this paper, a distributed collaborative intrusion detection system based on invariant called DCDIV is proposed identify betray attacks in VANET. Firstly, paper designs framework implement storage calculation big data tracking collection information. Secondly, considering strict delay limitation requirement information transmission between vehicles, reputation-based cooperative method exploited establish stable reliable link, where novel cluster head vehicle selection global reputation state, traffic density, life presented. Following this, uses dynamic behavior analysis technology mine invariant, contributes determine normal driving so as detect behaviors. Finally, Stochastic Petri Net describe state its transfer, then defines system. simulation results demonstrate that has higher rate, lower false alarm faster attack rate compared with existing methods, ensures during process.