Sybil attack detection in VANET using neighbouring vehicles

被引：16

作者：

Grover, J. ^{[1
]}

Laxmi, V. ^{[2
]}

Gaur, M.S. ^{[2
]}

机构：

[1] Department of Computer Science and Engineering, Global Institute of Technology, Jaipur

[2] Department of Computer Engineering, Malaviya National Institute of Technology, Jaipur

来源：

International Journal of Security and Networks | 2014年 / 9卷 / 04期

关键词：

Identity forging; Security; Simulation; Sybil attack; VANETs; Vehicular ad hoc networks;

D O I：

10.1504/IJSN.2014.066178

中图分类号：

学科分类号：

摘要：

In vehicular ad hoc networks (VANETs), vehicles are enabled to exchange information to detect and mitigate critical situations. VANETs are vulnerable to many security threats. One severe attack is Sybil attack, in which a malicious node forges large number of fake identities in order to disrupt the proper functioning of VANET applications. Fake information reported by a single malicious vehicle may not be highly convincing because most of the VANET applications require several vehicles to reinforce a particular information before accepting as a truth. A Sybil attacker pretends multiple vehicles in order to reinforce false messages. Proposed methodology exploits the characteristics of Sybil nodes as the neighbours of fake identities (originated from a malicious node) share significant common neighbouring nodes. Motivation behind the design of proposed approach is to locate Sybil nodes quickly without using secret information exchange and special hardware support. We evaluate our proposed approach on the realistic traffic scenario. Copyright © 2014 Inderscience Enterprises Ltd.

引用

页码：222 / 233

页数：11

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