VANET中位置相关的轻量级Sybil攻击检测方法

doi:10.11959/j.issn.1000-436x.2017055

Abstract

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.

Key words: Sybil attack, geometrical cross-recognition algorithm, position deviation matrix, lightweight algorithm

CLC Number:

TP393

Yan XIN,Xia FENG,Ting-ting LI. Position related lightweight Sybil detection approach in VANET[J]. Journal on Communications, 2017, 38(4): 110-119.

Figures/Tables 11

References 29

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车速/(km·h^-1)	摩擦系数	车速/(km·h^-1)	摩擦系数
30	0.40	80	0.34
40	0.38	90	0.33
50	0.37	100	0.32
60	0.36	110	0.31
70	0.35	120	0.30

类别	参数名	参数值
	车道数	6
交通场景	道路长度/km	8
	车道宽度/m	3.5
	车辆速度/(km·h^-1)	40～120
	车辆通信半径/m	250
网络通信	通信周期/s	1
	MAC层协议	802.11p

Position related lightweight Sybil detection approach in VANET

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