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Advances in Distributed Computing and Machine Learning pp 3–13Cite as

Customized Score-Based Security Threat Analysis in VANET

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Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 127))

Abstract

With the advancement of IoT, automated driving vehicles using VANET are the new trends of attraction. VANET is inherited from MANET and specifically used for communications between vehicles and between a vehicle and roadside infrastructures. VANET routing protocols are prone to security threats such as DoS, eavesdropping. In this paper, VANET routing protocols are analyzed to identify possible security threats, especially where and how cryptographic mechanisms could be implemented to achieve better security. A customized comparison of secured protocols is provided, followed by observations and conclusions.

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Author information

Authors and Affiliations

  1. Department of Computer Applications, National Institute of Technology Jamshedpur, Jamshedpur, India

    Alekha Kumar Mishra & Maitreyee Sinha

  2. School of IT & Engineering, Vellore Institute of Technology, Vellore, India

    Asis Kumar Tripathy

Authors
  1. Alekha Kumar Mishra
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  2. Asis Kumar Tripathy
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  3. Maitreyee Sinha
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Corresponding author

Correspondence to Maitreyee Sinha .

Editor information

Editors and Affiliations

  1. Vellore Institute of Technology, Vellore, Tamil Nadu, India

    Asis Kumar Tripathy

  2. San Diego State University, San Diego, CA, USA

    Mahasweta Sarkar

  3. Institute of Technical Education and Research (ITER), Siksha ‘O’ Anusandhan (SOA) Deemed to be University, Bhubaneswar, Odisha, India

    Jyoti Prakash Sahoo

  4. Providence University, Taichung, Taiwan

    Kuan-Ching Li

  5. National Institute of Technology, Rourkela, Rourkela, Odisha, India

    Suchismita Chinara

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© 2021 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Kumar Mishra, A., Kumar Tripathy, A., Sinha, M. (2021). Customized Score-Based Security Threat Analysis in VANET. In: Tripathy, A., Sarkar, M., Sahoo, J., Li, KC., Chinara, S. (eds) Advances in Distributed Computing and Machine Learning. Lecture Notes in Networks and Systems, vol 127. Springer, Singapore. https://doi.org/10.1007/978-981-15-4218-3_1

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