Secure Vehicular Platoon Management against Sybil Attacks.
Sybil attack
authentication
digital signature
elliptic curve cryptography
key exchange
platoons
Journal
Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366
Informations de publication
Date de publication:
21 Nov 2022
21 Nov 2022
Historique:
received:
11
10
2022
revised:
11
11
2022
accepted:
16
11
2022
entrez:
26
11
2022
pubmed:
27
11
2022
medline:
30
11
2022
Statut:
epublish
Résumé
The capacity of highways has been an ever-present constraint in the 21st century, bringing about the issue of safety with greater likelihoods of traffic accidents occurring. Furthermore, recent global oil prices have inflated to record levels. A potential solution lies in vehicular platooning, which has been garnering attention, but its deployment is uncommon due to cyber security concerns. One particular concern is a Sybil attack, by which the admission of fake virtual vehicles into the platoon allows malicious actors to wreak havoc on the platoon itself. In this paper, we propose a secure management scheme for platoons that can protect major events that occur in the platoon operations against Sybil attacks. Both vehicle identity and message exchanged are authenticated by adopting key exchange, digital signature and encryption schemes based on elliptic curve cryptography (ECC). Noteworthy features of the scheme include providing perfect forward secrecy and both group forward and backward secrecy to preserve the privacy of vehicles and platoons. Typical malicious attacks such as replay and man-in-the-middle attacks for example can also be resisted. A formal evaluation of the security functionality of the scheme by the Canetti-Krawczyk (CK) adversary and the random oracle model as well as a brief computational verification by CryptoVerif were conducted. Finally, the performance of the proposed scheme was evaluated to show its time and space efficiency.
Identifiants
pubmed: 36433596
pii: s22229000
doi: 10.3390/s22229000
pmc: PMC9697095
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : Agency for Science, Technology and Research
ID : A19D6a0053
Références
Sensors (Basel). 2021 May 08;21(9):
pubmed: 34066711