基于伪名的VANET恶意节点检测研究

Research on Pseudonym-based Malicious Node Detection in VANET

针对车载自组网(VANET)节点通信时间短、实时性要求高的特点,设计一种压缩型Bloom Filter机制,并将其应用于基于伪名的VANET恶意节点检测中。该Bloom Filter机制能减少伪名恶意节点集合的数据存储量,以及节点数据更新时的信息交换量,同时获得更高的恶意节点检测率和更低的假阳性率。分析结果表明,该方法可降低VANET节点间实际传输的数据量和通信开销,提高通信实时性。

To meet the requirement of short communication time and real-time in Vehicular Ad Hoc Network（VANET）, this paper designs a mechanism using compressed Bloom Filter mechanism, and realizes pseudonym-based malicious node detection in VANET. The mechanism can effectively reduce the data size of pseudonym set of malicious nodes and the exchanging information content in data updating process with lower false positive. Analysis results show that this method can reduce data transmission and correspondence expenses, and improve real-time of communication.