In traffic safety related application of Vehicular Ad-hoc Networks (VANETs), security is a great important issue. Sybil attack is a particular kind of attack where the attacker illegitimately claims multiple identities. In the past years, several approaches have been proposed for solving this problem. They are categorized into PKI-based, infrastructure-based, observer-based, and resource-test-based schemes. In this paper, previous protocols are analyzed, and a novel scheme to detect the Sybil nodes in VANETs is presented, mitigating the effect of a Sybil attack. The proposed Sybil nodes detection scheme, Traffic Flow Theory Aided Physical Measurement-Based Sybil Nodes Detection Mechanism in VANETs (PMSD), takes advantage of unmodifiable physical measurements of the beacon messages instead of key-based materials, which dose not only solve the Sybil attack problem, but also reduces the overhead for the detection. The proposed scheme does not require fixed infrastructure, which makes it easy to implement. To increase the detection accuracy, traffic flow theory and safety guard distance is introduced into the scheme. The simulation results show a 97% detection rate of Sybil nodes, with only about a 2% error rate.
|Title of host publication||2014 IEEE/ACIS 13th International Conference on Computer and Information Science, ICIS 2014 - Proceedings|
|Editors||Wenai Song, Simon Xu, Lichao Chen, Yan Han, Roger Lee|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Number of pages||6|
|Publication status||Published - 2014 Sep 26|
|Event||2014 13th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2014 - Proceedings - Taiyuan, China|
Duration: 2014 Jun 4 → 2014 Jun 6
|Name||2014 IEEE/ACIS 13th International Conference on Computer and Information Science, ICIS 2014 - Proceedings|
|Other||2014 13th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2014 - Proceedings|
|Period||14/6/4 → 14/6/6|
Bibliographical notePublisher Copyright:
© 2014 IEEE.
All Science Journal Classification (ASJC) codes
- Information Systems
- Computer Science Applications