基于压缩型Bloom Filter检测VANET恶意节点的算法研究
首发时间:2012-01-18
摘要:VANET因隐私考虑,通常设计基于伪名ID的各类通讯机制。而采用伪名又会引进另外一个安全问题:当车辆节点利用变换伪名进行恶意行为时,其他正常节点难以检测锁定该恶意节点。本文设计了一种压缩型Bloom Filter算法,可用于在基于伪名的VANET恶意节点检测过程中车辆节点对恶意节点的快速有效检测和判别。分析表明,该检测机制能够有效减少在检测恶意节点伪名过程中伪名集合存储的数据量(data size)、减少节点更新数据时每次交换的信息量(information content),检测成功率高,且该机制更适合VANET节点通讯时间短,实时性要求高的特点。
关键词: 车载Ad Hoc网络; 安全; 检测; Bloom Filter; 恶意节点
For information in English, please click here
Bloom Filter Based Detection Algorithm of Malicious Node in VANETs
Abstract:Considering the privacy of VANET, vehicular node usually use the pseudo ID based communication mechanism. However, another secure problems happen because of using the pseudo ID in VANET: The vehicular node can make malicious behaviors by changing instantly pseudo ID to avoid being detected. This paper designed an algorithm using compressed bloom filter, to realize detection and distinguishing of malicious node in the process of detection of malicious node in VANETs based on pseudonym. The algorithm could effectively reduce data size of pseudonym set during detection of malicious data and exchanging information content in data updating process, making the mechanism suitable for VANET node’s short communication time and high requirement of real-time.
Keywords: VANET Security Detection Bloom Filter Malicious Node
论文图表:
引用
No.****
同行评议
共计0人参与
勘误表
基于压缩型Bloom Filter检测VANET恶意节点的算法研究
评论
全部评论0/1000