A comparative analysis of multi-criteria decision methods for secure beacon selection in vehicular platoons

Sean Joe Taylor, Farhan Ahmad, Hoang Nga Nguyen, Siraj Ahmed Shaikh, Jeremy Bryans, Charles E. Wartnaby

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)


Vehicle platoons are a novel transportation technology which not only aims to ensure traffic safety but also create a positive impact on the environment by producing low CO (Formula presented.) emissions. Vehicle platoons rely heavily on wireless communication to ensure that vehicles (leader and members) moving at high speed can keep close formation by exchanging beacons containing significant, authentic and accurate information. However, the presence of malicious attackers launching different attacks such as false data injection (FDI) can compromise the security of vehicle platoons by tampering with the beacons. Therefore, to avoid FDI attacks, we relied on multi-criteria decision methods (MCDM)-based methods in order to select the optimum beacon to share authentic and accurate information with the member vehicles. In this study, three MCDM methods including weighted sum model, technique for order of preference by similarity to ideal solution and preference ranking organization method for enrichment of evaluations (PROMETHEE-II) are studied and compared with the aim to enable the platoons to select the optimum beacon for communication. We performed extensive simulations to evaluate the performance of these methods in the presence of three FDI attacker models from four different aspects, that is, safety, stability, environmental, and cyber security. Our results demonstrate that MCDM-based methods can increase network efficiency, but at the cost of a trade-off between safety and cyber security.

Original languageEnglish
Article numbere4841
Number of pages20
JournalTransactions on Emerging Telecommunications Technologies
Issue number11
Early online date8 Aug 2023
Publication statusPublished - 1 Nov 2023
Externally publishedYes

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