Vehicle Platooning applications will impact driving by improving the safety, efficiency andfuel economy of platooning-enabled vehicles and road networks. A vehicle platoon is whentwo or more vehicles travel together with minimal inter-vehicle distance, and the actionsof the leading vehicle are copied by all non-leader member vehicles using sensors andwireless communications. Non-leader member vehicles are semi-autonomous or entirelyautonomously driven when platooning. The challenge with keeping platooning safe frommany cyber attacks is securing the wireless communication channels used to enable platooning, such as Eavesdropping, Spoofing and False Data Injection (FDI) attacks, to name afew. Such attacks on communication, which is a primary method of control for platooningvehicles, can significantly damage the platoon’s availability, stability and safety.There is a range of proposed solutions to prevent attacks on platoons, with many proposedsolutions being inspired by solutions to VANET (Vehicle Ad hoc Networks), such as usingprivate and public key infrastructure and trust methods. While it shares many similaritieswith VANET, Platooning requires more secure communications due to the communicationsused to drive a platoon vehicle directly in situations where the margin of error is significantlylow. During platooning, the momentary disruption of the communications between vehiclesfrom attackers is more likely to cause more damage to platooning vehicles and other roadusers due to the need for constant communications to maintain safe platooning due to theuse of semi and completely autonomous driving of the vehicles. Currently, VANET is usedto increase situational awareness for drivers and not to control a vehicle directly; therefore,platoon security methods can take time to identify attackers and take action, leaving theplatoon vulnerable to attacks that manipulate or fake beacons in the platoon communicationnetwork.Therefore, this thesis presents a novel approach by proposing the development and utilization of Multiple Criteria Decision Analysis (MCDA) as an additional layer of defence.This innovative method empowers platoon members to swiftly assess a received beacon,thereby rejecting false or tampered beacons and replacing them with a reasonable alternative. This capability allows the attacked vehicle and, consequently, the platoon to continueplatooning as usual, even under heavy assault by an attacker. To validate the effectivenessof MCDA in mitigating the effects of both internal and external False Data Injection (FDI)attacks on a platoon, the platooning simulation software Plexe is employed. The Plexe simulations can replicate platooning as well as the effects that external and internal attackershave on a platoon. This research demonstrates how the use of MCDA and trust togethercan effectively mitigate the effects of these attacks on platoon members and the platoon as awhole.
Date of Award | Jul 2024 |
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Original language | English |
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Awarding Institution | |
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Sponsors | Applus IDIADA UK |
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Supervisor | Jeremy Bryans (Supervisor) |
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The use of Multiple Criteria Decision Analysis to Identify False Beacons in a Platooning Network
Taylor, S. J. (Author). Jul 2024
Student thesis: Doctoral Thesis › Doctor of Philosophy