通信学报2017，Vol.38Issue(4)：110-119,10.DOI:10.11959/j.issn.1000-436x.2017055
VANET中位置相关的轻量级Sybil攻击检测方法
Position related lightweight Sybil detection approach in VANET
摘要
Abstract
In VANET,the Sybil attack simultaneously using multiple forged identities can easily cause the injustice of resource usage and make networks in a mess by distributing false messages.To solve this problem,an event-driven lightweight algorithm was proposed,which could identify vehicles false position quickly.When one vehicle appeared inside another's safety zone,a geometrical cross-recognition algorithm to calculate the overlap between vehicles to detect false position claiming was presented.At the same time,according to the neighbors within the confirming vehicle's radio range,position deviation matrix was established further to identify the Sybil node of two overlap vehicles.The performance analysis and simulation results show that the lightweight algorithm driven by safety zone demonstrates fast identification and high detection rate,especially when GPS error is very low.The imported safety zone can also balance the communication load impacting by heavy vehicular density.And the communication processing delay is lower than other approaches.关键词
Sybil攻击/几何交叉模型算法/位置偏差矩阵/轻量级算法Key words
Sybil attack/geometrical cross-recognition algorithm/position deviation matrix/lightweight algorithm分类
信息技术与安全科学引用本文复制引用
辛燕,冯霞,李婷婷..VANET中位置相关的轻量级Sybil攻击检测方法[J].通信学报,2017,38(4):110-119,10.基金项目
国家自然科学基金资助项目(No.61472001) （No.61472001）
江苏省重点研发计划基金资助项目(No.BE2015136)The National Natural Science Foundation of China (No.61472001),The Key Research and Development Project of Jiangsu Province (No.BE2015136) （No.BE2015136）
