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  1. Proceedings of the 2006 workshop on Dependability issues in wireless ad hoc networks and sensor networks (DIWANS '06)
  2. Detection and localization of sybil nodes in VANETs
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Detection and localization of sybil nodes in VANETs
A framework for incentive compatible topology control in non-cooperative wireless multi-hop networks
Dependable deployments of ad hoc and mesh networks
In-network fault tolerance in networked sensor systems
A QoS routing and admission control scheme for 802.11 ad hoc networks
Energy-aware scheduling with quality of surveillance guarantee in wireless sensor networks
Policy-based resource allocation in a wireless public safety network for incident scene management
Distributed fault detection of wireless sensor networks
Construction of a fault-tolerant wireless communication topology using distributed agreement
Contour estimation using collaborating mobile sensors

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Detection and localization of sybil nodes in VANETs

Content Provider ACM Digital Library
Author Xiao, Bin Yu, Bo Gao, Chuanshan
Abstract Sybil attacks have been regarded as a serious security threat to ad hoc networks and sensor networks. They may also impair the potential applications of VANETs (Vehicular Ad hoc Networks) by creating an illusion of traffic congestion. In this paper, we present a lightweight security scheme for detecting and localizing Sybil nodes in VANETs, based on statistic analysis of signal strength distribution. Our scheme is a distributed and localized approach, in which each vehicle on a road can perform the detection of potential Sybil vehicles nearby by verifying their claimed positions. We first introduce a basic signal-strength-based position verification scheme. However, the basic scheme proves to be inaccurate and vulnerable to spoof attacks. In order to compensate for the weaknesses of the basic scheme, we propose a technique to prevent Sybil nodes from covering up for each other. In this technique, traffic patterns and support from roadside base stations are used to our advantage. We, then, propose two statistic algorithms to enhance the accuracy of position verification. The algorithms can detect potential Sybil attacks by observing the signal strength distribution of a suspect node over a period of time. The statistic nature of our algorithms significantly reduces the verification error rate. Finally, we conduct simulations to explore the feasibility of our scheme.
Starting Page 1
Ending Page 8
Page Count 8
File Format PDF
ISBN 1595934715
DOI 10.1145/1160972.1160974
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2006-09-26
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Vehicular ad hoc networks Position verification Sybil attacks Signal strength distribution
Content Type Text
Resource Type Article
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