On-Board Unit Security in VANET: Challenges and Countermeasures against DDoS Attacks

Reet Dengle; Saee Sawant; Samiksha Dubey; Vidhi Ganatra; Krishna Samdani

doi:10.2991/978-94-6463-858-5_119

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On-Board Unit Security in VANET: Challenges and Countermeasures against DDoS Attacks

Authors

Reet Dengle¹, Saee Sawant¹, Samiksha Dubey¹, Vidhi Ganatra¹, Krishna Samdani¹^{, *}

¹Department of Computer Engineering, Mukesh Patel School of Technology Management & Engineering, SVKM’s NMIMS, Mumbai, India

^*Corresponding author. Email: Krishna.Samdani@nmims.edu

Corresponding Author

Krishna Samdani

Available Online 4 November 2025.

DOI: 10.2991/978-94-6463-858-5_119 How to use a DOI?
Keywords: VANET; DDoS Attack; Machine Learning; Security; Attack Detection
Abstract: Vehicular Ad Hoc Networks (VANET) support real-time vehicle-to-vehicle and vehicle-to-infrastructure communication, but DDoS attacks have a significant effect on network availability, resulting in high packet loss and interference with emergency systems. Although ML-based Intrusion Detection Systems (IDS), Trust-Based Authentication, and Network Intrusion Detection Systems (NIDS) provide high detection accuracy, they are plagued by high computational overhead, scalability, and fixed detection thresholds. After extensively reviewing the literature, we have identified the key research challenges are sparse real-world datasets, difficulty in multi-attack mitigation, and non-integration with 5G and cloud security. This review paper also suggests the future exploration in the areas of Self-Healing Security Mechanisms, Federated Learning, TinyML, AI-based SDN policies, and quantum-resistant cryptography to achieve a scalable and adaptive security architecture for next-generation VANETs.
Copyright: © 2025 The Author(s)
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title: Proceedings of International Conference on Computer Science and Communication Engineering (ICCSCE 2025)
Series: Advances in Computer Science Research
Publication Date: 4 November 2025
ISBN: 978-94-6463-858-5
ISSN: 2352-538X
DOI: 10.2991/978-94-6463-858-5_119 How to use a DOI?
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

ris enw bib

TY  - CONF
AU  - Reet Dengle
AU  - Saee Sawant
AU  - Samiksha Dubey
AU  - Vidhi Ganatra
AU  - Krishna Samdani
PY  - 2025
DA  - 2025/11/04
TI  - On-Board Unit Security in VANET: Challenges and Countermeasures against DDoS Attacks
BT  - Proceedings of International Conference on Computer Science and Communication Engineering (ICCSCE 2025)
PB  - Atlantis Press
SP  - 1438
EP  - 1455
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-858-5_119
DO  - 10.2991/978-94-6463-858-5_119
ID  - Dengle2025
ER  -

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