VDMF: VANETs Detection Mechanism Using Fog Computing for Collusion and Sybil Attacks

Ejaz Ali Qazi; Asif Khan

Authors

Ejaz Ali Qazi Department of Computer Science, University of Peshawar, Pakistan.
Asif Khan Department of Computer Science, University of Peshawar, Pakistan.

Keywords:

Cyber-Attacks, VANETs, Cyber Security

Abstract

Vehicular Ad Hoc Networks (VANETs) have evolved as a key component of the intelligent transportation system, enhancing road safety and traffic efficiency. It is crucial to secure sensitive information, and detection of incident response, whenever malicious activity is observed. Key components of VANETs include vehicles, Roadside Units (RSUs), and Fog servers (FS). Despite this, the open and evolving nature of VANETs introduces substantial security challenges, including exposure to malicious attacks like Sybil and collusion attacks. The proposed technique addresses the crucial security vulnerabilities in VANETs by developing a robust and efficient fog computing-based mechanism for detecting and mitigating Sybil and collusion attacks. The proposed approach emphasizes minimizing computational and communication overheads while ensuring timely and accurate detection and response to malicious activities. The results show that the proposed technique provides less communication and computational overheads in sparse and dense scenarios with enhanced security.

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