A Denial of Service Attack Defense Method for Roadside Units

Roadside Units (RSUs) constitute a vital component of Vehicular Ad Hoc Network (VANET) due to their primary role in gathering vehicle information. However, as indicated in the literature, they are vulnerable to Denial of Service (DoS) attacks. Existing research has proposed several methods for detecting DoS attacks in RSUs, while subsequent steps such as mitigation and elimination remain unexplored. In this work, we propose a novel DoS Attack defense method for roadside units. We employ re-authentication to identify Sybil vehicles and discard the corresponding packets, thereby mitigating the attacks. Subsequently, we calculate the location of the actual malicious vehicle using a triangulation algorithm, in cooperation with traffic cameras and a cloud platform. This allows us to confirm the attacker and eliminate the DoS attacks. Simulation results demonstrate that our proposed method effectively defends against DoS attacks and successfully traces the attackers. Our method is a supplement to existing detection techniques.

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Publication Details

Published
2024-11-28
DOI
https://doi.org/10.1109/cbd65573.2024.00037
Primary Topic
Technology and Security Systems
Type
article
Field-Weighted Citation Impact
0.00

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article

A Denial of Service Attack Defense Method for Roadside Units

Naixuan Guo, Huanbin Wang, Haiting Zhu, Bingfeng Xu et al.
Technology and Security Systems
article

A Denial of Service Attack Defense Method for Roadside Units

Naixuan Guo, Huanbin Wang, Haiting Zhu, Bingfeng Xu, Lu Zhang, Gaofeng He
article en

Abstract

Roadside Units (RSUs) constitute a vital component of Vehicular Ad Hoc Network (VANET) due to their primary role in gathering vehicle information. However, as indicated in the literature, they are vulnerable to Denial of Service (DoS) attacks. Existing research has proposed several methods for detecting DoS attacks in RSUs, while subsequent steps such as mitigation and elimination remain unexplored. In this work, we propose a novel DoS Attack defense method for roadside units. We employ re-authentication to identify Sybil vehicles and discard the corresponding packets, thereby mitigating the attacks. Subsequently, we calculate the location of the actual malicious vehicle using a triangulation algorithm, in cooperation with traffic cameras and a cloud platform. This allows us to confirm the attacker and eliminate the DoS attacks. Simulation results demonstrate that our proposed method effectively defends against DoS attacks and successfully traces the attackers. Our method is a supplement to existing detection techniques.

Nanjing Forestry University (CN), Nanjing Audit University (CN), Nanjing University of Posts and Telecommunications (CN), Yancheng Institute of Technology (CN)
National Outstanding Youth Science Fund Project of National Natural Science Foundation of China, Fundamental Research Funds for the Central Universities
Sustainable cities and communities
Openalex Percentile: Top 57%
Technology and Security Systems
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