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Performance Analysis of Behavior-based Solutions in Vehicular Networks

Alnasser, Aljawharah; Sun, Hongjian

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Authors

Aljawharah Alnasser



Abstract

Transportation systems require communication network for achieving safe traffic and efficient transportation. As a result, vehicles become exposed to either internal or external attacks. Various behavior-based methods were proposed to protect vehicular networks against internal attacks. In this paper, we propose two behavior-based models that apply different methods which are weighted-sum and fuzzy logic. We conduct various experiments using different communication and behavioral scenarios. In addition, we analyse the results to measure the performance of both methods. Simulation results show that weighted-sum method outperforms fuzzy logic in vehicular networks. A comparison result presents that the detection rate improves for weighted-sum method with almost all scenarios. Indeed, the detection rate for scenario B.1, when there is no direct communication with malicious node, is improved by at least 27%.

Citation

Alnasser, A., & Sun, H. (2018). Performance Analysis of Behavior-based Solutions in Vehicular Networks. In IEEE INFOCOM 2018 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) : Honolulu, Hawaii, USA 15-19 April 2018 (736-741). https://doi.org/10.1109/infcomw.2018.8406818

Presentation Conference Type Conference Paper (Published)
Conference Name IEEE International Conference on Computer Communications (INFOCOM 2018)
Start Date Apr 15, 2018
End Date Apr 19, 2018
Acceptance Date Feb 12, 2018
Online Publication Date Jul 9, 2018
Publication Date Jul 9, 2018
Deposit Date Jun 4, 2018
Publicly Available Date Jun 5, 2018
Publisher Institute of Electrical and Electronics Engineers
Pages 736-741
Book Title IEEE INFOCOM 2018 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) : Honolulu, Hawaii, USA 15-19 April 2018.
ISBN 9781538659809
DOI https://doi.org/10.1109/infcomw.2018.8406818
Public URL https://durham-repository.worktribe.com/output/1144626

Files

Accepted Conference Proceeding (2 Mb)
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