The invention belongs to the technical field of Internet of Vehicles safety, and discloses a multi-dimensional vehicle trust evaluation method for the Internet of Vehicles, and the evaluation method mainly consists of two parts: in a workshop trust module, an evaluation vehicle analyzes the context and message quality of a target vehicle; the inter-vehicle trust value of the target vehicle is established by combining the recommendation of the neighbor vehicle, and the message sent by the target vehicle is determined to be received or discarded, so that the propagation of malicious messages in the network can be effectively reduced; in the vehicle global reputation module, the RSU filters malicious feedback, the feedback trust of a target vehicle is calculated by adopting an asymmetric forgetting factor, malicious disaggregation attacks can be resisted and heavier punishment can be applied to illegal behaviors, and a fog server calculates a global reputation value after considering historical behaviors and then decides whether to add the global reputation value into a blacklist. According to the method, the reliability of the vehicle nodes can be measured, the reliability of the vehicle messages can also be measured, and meanwhile certain robustness is achieved for hostile attacks existing in the network.
本发明属于车联网安全技术领域,公开了一种针对车联网的多维车辆信任评估方法,该评估方法主要由两部分组成:在车间信任模块中,评估车辆通过对目标车辆的上下文、消息质量进行分析,结合邻居车辆的推荐建立对目标车辆的车间信任值,决定接收或丢弃其发来的消息,可有效减少恶意消息在网络中传播;在车辆全局声誉模块中,RSU对恶意反馈进行过滤恶,采用非对称遗忘因子计算目标车辆的反馈信任,能够抵抗恶意毁谤攻击并对非法行为施加更重的惩罚,雾服务器考虑其历史行为后计算全局声誉值再决定是否将它加入黑名单列表。本发明既可以衡量车辆节点的可靠性,又可以衡量车辆消息的可靠性,同时对网络中存在的恶意攻击具有一定鲁棒性。
Multi-dimensional vehicle trust evaluation method for Internet of Vehicles
一种针对车联网的多维车辆信任评估方法
2023-01-24
Patent
Electronic Resource
Chinese
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