论文标题
基于信任的恶意RSU检测机制，具有边缘的车辆临时网络
A Trust-Based Malicious RSU Detection Mechanism in Edge-Enabled Vehicular Ad Hoc Networks
论文作者
论文摘要
通过路边单元（RSUS）向车辆（RSUS）向车辆（RSUS）引入实时服务，计算和通信设施。然而，由于RSU在开放，未受保护的环境和资源约束性质中的位置，RSU通常是安全攻击的简单目标。安全攻击损害的恶意RSU通过阻碍货物的运作来构成对人类安全的威胁。因此，有效的恶毒RSU检测机制对于货物货物至关重要。现有的基于信任的检测机制根据其与移动车辆的交互作用将信任分数分配给RSU，在此过程中，精确检测ROGUE RSUS取决于信任分数的准确性。但是，RSU与运行车辆的短暂互动允许不足的时间准确估算信任。此外，当前的作品仅使用信标消息中的车速和密度来评估信任，而无需考虑相同消息中传感器检测的数据。但是，传感器数据对于流量管理很有用，并且忽略它们在信任估计中造成了不准确性。在本文中，我们解决了这些局限性，并提出了一种基于信任的方案，以检测使用稳定且频繁的RSU-TO-RSU（R2R）相互作用来精确分析RSU的行为。我们还提供了一种检测信标含量中传感器检测数据的改变的机制，并将该方案纳入RSU的信任计算中。实验结果表明，即使在存在敌对的车辆的情况下，提出的解决方案也有效地检测到大约92％的恶意RSU。此外，将提议的解决方案与VANET路由协议集成在一起可提高路由效率。
Edge-enabled Vehicular Ad Hoc Network (VANET) introduces real-time services and storage, computation, and communication facilities to the vehicles through Roadside Units (RSUs). Nevertheless, RSUs are often easy targets for security assaults due to their placement in an open, unprotected environment and resource-constrained nature. The malicious RSUs compromised by security attacks impose threats to human safety by impeding the operations of VANETs. Hence, an effective malevolent RSU detection mechanism is crucial for VANETs. Existing trust-based detection mechanisms assign trust scores to RSUs based on their interactions with moving vehicles where precise detection of rogue RSUs depends on the accuracy of trust scores. However, brief interaction of RSUs with the running vehicles permits inadequate time to estimate trust accurately. Besides, current works use only vehicle speed and density in beacon messages to assess trust without considering the sensor-detected data in the same messages. Nonetheless, sensor data is useful for traffic management, and neglecting them creates inaccuracy in trust estimation. In this paper, we address these limitations and propose a trust-based scheme to detect malicious RSUs that uses stable and frequent RSU-to-RSU (R2R) interaction to precisely analyze the behavior of an RSU. We also offer a mechanism to detect alteration of sensor-detected data in beacon content and incorporate this scheme in the trust calculation of RSUs. The experimental results show that the proposed solution effectively detects approximately 92% malicious RSUs, even in the presence of hostile vehicles. Moreover, integrating the proposed solution with the VANET routing protocols improves routing efficiency.
