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Intrusion Detection System Classifier for VANET Based on Pre-processing Feature Extraction

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Future Network Systems and Security (FNSS 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1113))

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Abstract

Vehicular Ad-hoc Networks (VANETs) are gaining much interest and research efforts over recent years for it offers enhanced safety and improved travel comfort. However, security threats that are either seen in the ad-hoc networks or unique to VANET present considerable challenges. In this paper, we are presenting the intrusion detection classifier for VANET base on pre-processing feature extraction. This ID infrastructure novel is mainly introducing a new design feature for extraction mechanism a pre-processing feature-based classifier. In the beginning, we will extract the traffic stream structures and vehicle location features in the VANET model. Later an Algorithm Pre-processing feature-based classifier was designed for evaluating the IDS by using hierarchy learning process. Finally, an additional two-step validation mechanism was used to determine the abnormal vehicle messages accurately. The proposed method has better finding accuracy, stability, processing efficiency, and communication load.

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Author information

Authors and Affiliations

  1. Department of Electronics and Information Engineering, Huazhong University of Science and Technology, Wuhan, 430074, People’s Republic of China

    Ayoob Ayoob

  2. School of Information Technology, Deakin University, Geelong, VIC, Australia

    Ghaith Khalil, Morshed Chowdhury & Robin Doss

Authors
  1. Ayoob Ayoob
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  2. Ghaith Khalil
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  3. Morshed Chowdhury
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  4. Robin Doss
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Corresponding author

Correspondence to Ghaith Khalil .

Editor information

Editors and Affiliations

  1. Deakin University, Burwood, VIC, Australia

    Robin Doss

  2. University of Florida, Gainesville, FL, USA

    Selwyn Piramuthu

  3. Information & Operations Management, ESCP Europe, PARIS, France

    Wei Zhou

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Ayoob, A., Khalil, G., Chowdhury, M., Doss, R. (2019). Intrusion Detection System Classifier for VANET Based on Pre-processing Feature Extraction. In: Doss, R., Piramuthu, S., Zhou, W. (eds) Future Network Systems and Security. FNSS 2019. Communications in Computer and Information Science, vol 1113. Springer, Cham. https://doi.org/10.1007/978-3-030-34353-8_1

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  • DOI: https://doi.org/10.1007/978-3-030-34353-8_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-34352-1

  • Online ISBN: 978-3-030-34353-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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