VDMF: VANETsDetection Mechanism Using Fog Computing forCollusion and Sybil Attacks
Asif Khan ()
Additional contact information
Asif Khan: Department of Computer Science, University of Peshawar, Pakistan
International Journal of Innovations in Science & Technology, 2024, vol. 6, issue 3, 1554-1567
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 proposedapproach emphasizes minimizing computational and communication overheads while ensuring timely and accurate detection and response to malicious activities. The results show that the proposed technique providesless communication and computational overheads in sparse and dense scenarios with enhancedsecurity.
Keywords: VANETs; Fog Computing; Incident Response; Sybil Attack; Collusion Attack (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:
Downloads: (external link)
https://journal.50sea.com/index.php/IJIST/article/view/1041/1607 (application/pdf)
https://journal.50sea.com/index.php/IJIST/article/view/1041 (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:abq:ijist1:v:6:y:2024:i:3:p:1554-1567
Access Statistics for this article
International Journal of Innovations in Science & Technology is currently edited by Prof. Dr. Syed Amer Mahmood
More articles in International Journal of Innovations in Science & Technology from 50sea
Bibliographic data for series maintained by Iqra Nazeer ().