面向车联网环境的车辆行为可信决策机制

Trusted behavior-decision scheme of vehicles for vehicular ad-hoc network

车联网中的车辆节点收到的信息存在虚假和伪造的可能性,极大影响了车辆节点进行正确的行为决策。通过建立一种基于不确定性理论的节点信誉度混合评估模型,对信息源节点的可信程度进行评估,结合信息源节点的信誉度,建立车辆节点行为可信决策机制,该机制采用C-means算法进行信息可信评估,辅助车辆节点根据收到信息的可信与否做出相应的行为决策。仿真结果表明,该方法提高了节点可信判断的准确率,提高了车联网中车辆节点行为决策的准确率。

It is possible that vehicular nodes in vehicular ad-hoc networks receive the false and froged messages which greatly affect the correct behavior-decision.Based on the uncertain theory,an evaluation model of reputation uncertainty theory of mixed assessment based on confidence level of the information of the source node was presented,the source node with information credibility was evaluated,and a vehicle node behavior trust decision-making mechanism was established,in which C-means algorithm was used for information trustworthiness evaluation,the auxiliary vehicle node made corresponding decisions according to the information received.Results of simulation show that the proposed method improves the accuracy of node credible judgment,and also improves the accuracy rate of vehicle node behavior decision making in car networking.