Privacy-Preserving Detection of Sybil Attacks in Vehicular Ad Hoc Networks
- 1 January 2007
- conference paper
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
Abstract
Vehicular ad hoc networks (VANETs) are being advocated for traffic control, accident avoidance, and a variety of other applications. Security is an important concern in VANETs because a malicious user may deliberately mislead other vehicles and vehicular agencies. One type of malicious behavior is called a Sybil attack, wherein a malicious vehicle pretends to be multiple other vehicles. Reported data from a Sybil attacker will appear to arrive from a large number of distinct vehicles, and hence will be credible. This paper proposes a light-weight and scalable framework to detect Sybil attacks. Importantly, the proposed scheme does not require any vehicle in the network to disclose its identity, hence privacy is preserved at all times. Simulation results demonstrate the efficacy of our protocol.Keywords
This publication has 4 references indexed in Scilit:
- The security of vehicular ad hoc networksPublished by Association for Computing Machinery (ACM) ,2005
- Balancing auditability and privacy in vehicular networksPublished by Association for Computing Machinery (ACM) ,2005
- Detecting and correcting malicious data in VANETsPublished by Association for Computing Machinery (ACM) ,2004
- k-ANONYMITY: A MODEL FOR PROTECTING PRIVACYInternational Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2002