Kolmogorov-Smirnov based method for detecting black hole attack in vehicular ad-hoc networks

The security of ad hoc networks continues to pose a major challenge in today's digital age. Threatened by unscrupulous users, especially in decentralized and open architectures, ad-hoc vehicular networks make protection against malicious attacks a difficult task. Vehicular networks, a specific subset of ad hoc networks, inherit security vulnerabilities from their parent network. One of the best-documented attacks is the black hole, in which a malicious user attempts to manipulate the routing mechanism to gain unauthorized access to the route, then intercepts and discards data packets. The result is an interruption of service to the intended recipient. In their research, the authors propose a black hole attack detection system based on the Kolmogorov-Smirnov statistical method. This system is designed to identify communication disruptions caused by such attacks without requiring structural modifications to the routing protocol. The results show that the proposed method can detect the presence of the attack by monitoring network activity. The results are tested and validated using SUMO (Simulation of Urban MObility) to generate microscopic road traffic, and NS-2 (Network Simulator) to generate network communication.

• Record URL:
  • https://doi.org/10.1016/j.procs.2024.05.019
• Record URL:
  • http://www.sciencedirect.com/science/article/pii/S1877050924010354
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/18770509
• Supplemental Notes:
  • © 2024 The Author(s). Published by Elsevier B.V. Abstract reprinted with permission of Elsevier.
• Authors:
  • Cherkaoui, Badreddine
  • Houssaini, Mohammed-Alamine El
  • Kasri, Mohammed
  • Beni-Hssane, Abderrahim
  • Erritali, Mohammed
• Publication Date: 2024

Language

• English

Media Info

• Media Type: Web
• Features: Figures; References; Tables;
• Pagination: pp 177-184
• Serial:
  • Procedia Computer Science
  • Volume: 236
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 1877-0509
  • Serial URL: http://www.sciencedirect.com/science/journal/18770509
• Publication flags:

  Open Access (libre)

Subject/Index Terms

• TRT Terms: Autonomous vehicles; Computer security; Data management; Routing; Simulation; Vehicular ad hoc networks
• Identifier Terms: Kolmogorov-Smirnov test; SUMO (Traffic simulation model); VANET (Traffic simulator)
• Subject Areas: Data and Information Technology; Highways; Safety and Human Factors; Security and Emergencies; Vehicles and Equipment;

Filing Info

• Accession Number: 01928109
• Record Type: Publication
• Files: TRIS
• Created Date: Aug 22 2024 3:11PM