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Meet-cloud for secure and accurate distribution of negative messages in vehicular Ad hoc network

机译:Meet-cloud可在车载Ad hoc网络中安全,准确地分发负面消息

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摘要

Keeping Vehicular Ad hoc Network (VANET) from attacks requires secure and efficient distribution of information about bad entities. Negative messages are pieces of information that define the negative attributes of vehicles. By formally defining the negative message, we observe that accuracy is essential for its efficient distribution. We formally define the coverage percentage and accurate coverage percentage to describe the availability and distribution efficiency of negative message. These two metrics can jointly evaluate the performance of a distribution method. To obtain both high coverage percentage and high accurate coverage percentage, we propose meet-cloud, a scheme based on meet-table and cloud computing to securely and accurately distribute negative messages in VANET. A meet-table in a Road Side Unit (RSU) records the vehicles it encounters. All meettables are sent to cloud service to aggregate a global meet-table. The algorithm for distributing and redistributing negative messages are designed. Security analysis shows that meet-cloud is secure against fake and holding on to negative message attacks. Simulations and analysis demonstrate that meet-cloud is secure under denial of service and fake meet-table attacks. The simulation results also justify that meet-cloud outperforms the RSU broadcast and epidemic model.
机译:要使车载自组织网络(VANET)免受攻击,需要安全有效地分发有关不良实体的信息。负面消息是定义车辆负面属性的信息。通过正式定义负面消息,我们观察到准确性对于其有效分发至关重要。我们正式定义覆盖率和准确的覆盖率,以描述负面消息的可用性和分发效率。这两个指标可以共同评估分发方法的性能。为了同时获得较高的覆盖率和准确的覆盖率,我们提出了Meet-cloud,一种基于见面表和云计算的方案,可以在VANET中安全准确地分发负面消息。路边单元(RSU)中的会议桌会记录遇到的车辆。所有会议表都发送到云服务以汇总全局会议表。设计了用于分发和重新分发否定消息的算法。安全分析表明,meet-cloud可以防止假冒和负面消息攻击。仿真和分析表明,在拒绝服务和伪造的会议桌攻击下,遇见云是安全的。仿真结果还证明,遇见云的性能优于RSU广播和流行模型。

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