Trust Distance Based Malicious Nodes Detection Method in Vehicular Ad Hoc Network
With the requirement of rapid detection of malicious nodes in high-speed VANET,a trust model was proposed on the basis of bayes hypothesis,aiming at solving the issues that the topology of VANET changes quickly and is more vulnerable to malicious internal attack than traditional mobile ad-hoc network.The model intensifies the influence of negative events,to eliminate the malicious recommendations in advance and avoid collusion attack.The concept of "recommendation trust distance" is introduced as trust metric of recommendation trust when integrating recommendation trust.Compared with the current detection method based on trust,this model speeds up the detection speed and simplifies the recommend delivery.The simulation experiment shows that this trust model has rapid detection speed and good performance in detecting malicious nodes from the network packet loss rate and the detection rate of malicious nodes.
VANETTrust modelBayes hypothesisRecommendation trust distanceNetwork packet loss rateDetection rate
NETL
NSTL
万方数据
维普
