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

Dongxu Jin; Jooseok Song

doi:10.1109/ICIS.2014.6912147

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

Dongxu Jin, Jooseok Song

Department of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
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.
Pages	281-286
Number of pages	6
ISBN (Electronic)	9781479948604
DOIs	https://doi.org/10.1109/ICIS.2014.6912147
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

Publication series

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

Other

Other	2014 13th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2014 - Proceedings
Country	China
City	Taiyuan
Period	14/6/4 → 14/6/6

Bibliographical note

Publisher Copyright:
© 2014 IEEE.

All Science Journal Classification (ASJC) codes

Information Systems
Computer Science Applications

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10.1109/ICIS.2014.6912147

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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

Jin, Dongxu ; Song, Jooseok. / A Traffic Flow Theory Aided Physical Measurement-Based Sybil Nodes Detection Mechanism in Vehicular Ad-hoc Networks. 2014 IEEE/ACIS 13th International Conference on Computer and Information Science, ICIS 2014 - Proceedings. editor / Wenai Song ; Simon Xu ; Lichao Chen ; Yan Han ; Roger Lee. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 281-286 (2014 IEEE/ACIS 13th International Conference on Computer and Information Science, ICIS 2014 - Proceedings).

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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.",

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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., 6912147, 2014 IEEE/ACIS 13th International Conference on Computer and Information Science, ICIS 2014 - Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 281-286, 2014 13th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2014 - Proceedings, Taiyuan, China, 14/6/4. https://doi.org/10.1109/ICIS.2014.6912147

A Traffic Flow Theory Aided Physical Measurement-Based Sybil Nodes Detection Mechanism in Vehicular Ad-hoc Networks. / Jin, Dongxu; Song, Jooseok.

2014 IEEE/ACIS 13th International Conference on Computer and Information Science, ICIS 2014 - Proceedings. ed. / Wenai Song; Simon Xu; Lichao Chen; Yan Han; Roger Lee. Institute of Electrical and Electronics Engineers Inc., 2014. p. 281-286 6912147 (2014 IEEE/ACIS 13th International Conference on Computer and Information Science, ICIS 2014 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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N2 - 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.

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

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

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