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Secure Vehicular Platoon Management against Sybil Attacks.
Junaidi, Danial Ritzuan; Ma, Maode; Su, Rong.
Afiliação
  • Junaidi DR; School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798, Singapore.
  • Ma M; College of Engineering, Qatar University, Doha P.O. Box 2713, Qatar.
  • Su R; School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798, Singapore.
Sensors (Basel) ; 22(22)2022 Nov 21.
Article em En | MEDLINE | ID: mdl-36433596
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.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Algoritmos / Segurança Computacional Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Algoritmos / Segurança Computacional Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article