Attack Mitigation and Security for Vehicle Platoon

Authors

  • Daniel Kyalo Ndambuki Department of Electrical and Communication Engineering, P.O. Box 3900-30100, Moi University, Kenya
  • Hitmi Khalifa Alhitmi Qatar University, P.O. Box: 2713 – Doha, Qatar

DOI:

https://doi.org/10.13052/jcsm2245-1439.1141

Keywords:

Vehicle Ad-hoc Networks (VANETs), vehicle-to-vehicle communication, visible light communication (VLC), vehicular system, network security, color-shift keying (CSK)

Abstract

This research entails an investigation into enhanced attack detection techniques as a security feature in vehicular platooning. The paper evaluates critical challenges in the security of Vehicular Ad hoc Networks (VANETs) with a focus on vulnerabilities in vehicle platooning. We evaluate the possibilities of securing a platoon through enhanced attack detection following an inside attack while considering current communication-based approaches to vehicular platoon security that have been effective at isolating infected platoon members. This study proposes the use of color-shift keying (CSK) as a security tool for enhanced detection of an apparent platoon attack. We simulate various attack scenarios involving a vehicular platoon communicating via a VLC network and assess the degree of exposure of such networks to three types of attacks – Sybil attacks, delay attacks, and denial-of-service (DoS) attacks. We recommend the use of a light-to-frequency (LTF) converter comprising of a receiver to collect and decode transmitted symbols with regard to the frequency of transmission. Once there is a drop in the intensity of the light transmitted in the platoon, CSK is implemented to alter the intensity of the red, green, and blue (RGB) spectrum coupled with radiofrequency to ensure the security of the communication. CSK will use coded symbols to transmit the control information from the leader using a microcontroller.

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Author Biographies

Daniel Kyalo Ndambuki, Department of Electrical and Communication Engineering, P.O. Box 3900-30100, Moi University, Kenya

Daniel Kyalo Ndambuki is a professional telecommunication engineer with B. Eng qualification in electrical and telecommunication engineering from Moi University, Kenya. He is also a researcher in offensive cyber security and pursuing MSc. In Telecommunication Engineering Degree.

Hitmi Khalifa Alhitmi, Qatar University, P.O. Box: 2713 – Doha, Qatar

Hitmi Khalifa Alhitmi is a Qatar-born academician with interests in smart traffic light system. He invented and patented smart traffic light system, which applies artificial intelligence system to determine the equilibrium time needed for each traffic light. The system also reduces accident rates by providing a pre-warning system. His other academic achievements include MSc. Degree in Marketing Management, BSc International Economics and Business and Marketing. He is currently pursuing PhD in Business and Economics at the University of Edinburgh, Scotland.

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Published

2022-11-07

Issue

Section

AI and Machine Learning for intelligent Cybersecurity solutions