A Traffic Flow Theory Aided Physical Measurement-Based Sybil Nodes Detection Mechanism in Vehicular Ad-hoc Networks

Dongxu Jin, Jooseok Song

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publication2014 IEEE/ACIS 13th International Conference on Computer and Information Science, ICIS 2014 - Proceedings
EditorsWenai Song, Simon Xu, Lichao Chen, Yan Han, Roger Lee
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages281-286
Number of pages6
ISBN (Electronic)9781479948604
DOIs
Publication statusPublished - 2014 Sep 26
Event2014 13th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2014 - Proceedings - Taiyuan, China
Duration: 2014 Jun 42014 Jun 6

Publication series

Name2014 IEEE/ACIS 13th International Conference on Computer and Information Science, ICIS 2014 - Proceedings

Other

Other2014 13th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2014 - Proceedings
CountryChina
CityTaiyuan
Period14/6/414/6/6

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Computer Science Applications

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    Jin, D., & Song, J. (2014). A Traffic Flow Theory Aided Physical Measurement-Based Sybil Nodes Detection Mechanism in Vehicular Ad-hoc Networks. In W. Song, S. Xu, L. Chen, Y. Han, & R. Lee (Eds.), 2014 IEEE/ACIS 13th International Conference on Computer and Information Science, ICIS 2014 - Proceedings (pp. 281-286). [6912147] (2014 IEEE/ACIS 13th International Conference on Computer and Information Science, ICIS 2014 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICIS.2014.6912147