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AuthorJarouf, Abdulah
AuthorMeskin, Nader
AuthorAl-Kuwari, Saif
AuthorShakerpour, Mohammad
AuthorCassanderas, Christos G.
Available date2023-03-29T12:27:10Z
Publication Date2022-01-01
Publication NameIEEE Intelligent Vehicles Symposium, Proceedings
Identifierhttp://dx.doi.org/10.1109/IV51971.2022.9827242
CitationJarouf, A., Meskin, N., Al-Kuwari, S., Shakerpour, M., & Cassanderas, C. G. (2022, June). Security Analysis of Merging Control for Connected and Automated Vehicles. In 2022 IEEE Intelligent Vehicles Symposium (IV) (pp. 1739-1744). IEEE.‏
ISBN9781665488211
URIhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85135372459&origin=inward
URIhttp://hdl.handle.net/10576/41428
AbstractSecuring traffic flows in internet of vehicles (IoV) environments for connected and automated vehicles (CAVs) is a critical task as it should be done in real-time to allow vehicles' controllers engagement on time. In this paper, the security of CAV communication at merging points is studied, the insecure vehicle communication is analysed in terms of the possible security threats and consequences, and security goals are then identified to protect the environment. We present a network topology that improves the availability of the system and propose a high-level design of a vehicle authentication protocol based on public key cryptography to authenticate vehicles. Simulation and analysis of the cryptographic functions are done to choose the best fit for vehicle communication, where Rivest-Shamir-Adleman (RSA)-2048 algorithms provide faster and more efficient computations.
SponsorThis paper was supported by the Qatar National Research Fund (a member of the Qatar Foundation) under NPRP Grant number 12S-0228-190177.
Languageen
PublisherInstitute of Electrical and Electronics Engineers Inc.
SubjectConnected and automated vehicles
Cryptography
Internet of vehicles
Merging control systems
TitleSecurity Analysis of Merging Control for Connected and Automated Vehicles
TypeConference
Pagination1739-1744
Volume Number2022-June
dc.accessType Abstract Only


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