车联网中基于社会网络的车辆信任估计方案

On the Human Factor Consideration for Trust Evaluation Algorithm for VANETs

针对车联网(Vehicular Ad Hoc Networks,VANETs)安全相关的应用,确保通信实体满足信任要求是非常重要的任务。而多数安全应用属决策辅助系统,最终还是由人进行决策。为此,提出基于人为因素的车辆信任估计算法(Human factor consideration-based trust evaluation,HFTE)。HFTE算法通过在线社会网络(Online Social Networks,OSNs),估计驾驶员的忠诚。并融合车间信任和基于OSN-信任,综合地估计车辆的总体信任值。仿真结果表明,提出的HFET算法提高不忠诚节点的检测率。

Ensuring the required trustiness among communicating peers is an important task in Vehicular Ad hoc Networks(VANETs),especially for safety-related applications where the margin of error is extremely undesired.Most the safety applications are a kind of decision aided system,and final decision is always taken by humans.Therefore,Human factor consideration-based trust evaluation(HFTE)algorithm is proposed in this paper.HFTE algorithm estimates the drivers honesty based on their Online Social Networks(OSNs)profiles.And HFTE algorithm combined both inter-vehicle and OSN-based trust to compute the overall trust about the different vehicles.The simulation results show that HFTE algorithm improves the detection ratio.