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An Anomaly Detection System Based on Clustering and Fuzzy Set Theory in VANETs

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Soft Computing Applications (SOFA 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1222))

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Abstract

In vehicular ad hoc network (VANET), which is considered as a type of mobile ad hoc network (MANET), communication occurs between neighbor vehicles and also roadside equipment and vehicles. Due to the characteristics of VANET, there are chances of a number possible attack in this network. In this paper, an anomaly detection system that uses clustering and fuzzy set theory to defend the Denial of Service (DoS) attack is presented. Results of simulation represent that the proposed algorithm arrives to the high detection rate.

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Author information

Authors and Affiliations

  1. Department of Computer Science, Faculty of Mathematics and Computer, Shahid Bahonar University of Kerman, Kerman, Iran

    Marjan Kuchaki Rafsanjani

  2. Department of Applied Mathematics, Young Research Society, Shahid Bahonar University of Kerman, Kerman, Iran

    Hamideh Fatemidokht

  3. Department of Automatics and Applied Software, Faculty of Engineering, Aurel Vlaicu University of Arad, Arad, Romania

    Valentina Emilia Balas

  4. School of Computer Science and Engineering, Lovely Professional University, Jalandhar, India

    Ranbir Singh Batth

Authors
  1. Marjan Kuchaki Rafsanjani
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  2. Hamideh Fatemidokht
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  3. Valentina Emilia Balas
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  4. Ranbir Singh Batth
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Corresponding author

Correspondence to Marjan Kuchaki Rafsanjani .

Editor information

Editors and Affiliations

  1. "Aurel Vlaicu" University of Arad, Faculty of Engineering, Arad, Romania

    Valentina Emilia Balas

  2. Faculty of Engineering and Information Technology, University of Technology Sydney, Centre for Artificial Intelligence, Sydney, Australia

    Lakhmi C. Jain

  3. Faculty of Engineering, “Aurel Vlaicu” University of Arad, Arad, Arad, Romania

    Marius Mircea Balas

  4. Department of Information Technology and Programming, Azerbaijan Technical University, Baku, Azerbaijan

    Shahnaz N. Shahbazova

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Kuchaki Rafsanjani, M., Fatemidokht, H., Balas, V.E., Batth, R.S. (2021). An Anomaly Detection System Based on Clustering and Fuzzy Set Theory in VANETs. In: Balas, V., Jain, L., Balas, M., Shahbazova, S. (eds) Soft Computing Applications. SOFA 2018. Advances in Intelligent Systems and Computing, vol 1222. Springer, Cham. https://doi.org/10.1007/978-3-030-52190-5_28

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