Trusted Blockchain-Based Signcryption Protocol and Data Management for Authentication and Authorization in VANETs
Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
Original language | English |
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Article number | 9572992 |
Journal / Publication | Wireless Communications and Mobile Computing |
Volume | 2022 |
Online published | 21 May 2022 |
Publication status | Published - 2022 |
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DOI | DOI |
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Attachment(s) | Documents
Publisher's Copyright Statement
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Link to Scopus | https://www.scopus.com/record/display.uri?eid=2-s2.0-85131164287&origin=recordpage |
Permanent Link | https://scholars.cityu.edu.hk/en/publications/publication(2c0381ce-c55e-44ec-b227-a776c0982835).html |
Abstract
Vehicular Ad hoc Networks (VANETs) are the industrial cornerstone of intelligent transportation system (ITS), which are widely used in traffic management, automatic driving, and road optimization. With the expansion of the scale of the mobile ad hoc networks (MANETs) and smart vehicles (SV), VANETs will produce a large amount of data. In the open access environment of VANETs, the security of information transmission and the authenticity of user identity need to be considered when different vehicles communicate. In order to solve the cybersecurity risks of large-scale deployment of VANET, this paper proposes a trusted blockchain-based signcryption protocol and data management (TB-SCDM) for authentication and authorization (A&A) in VANETs. In the existing attack model, TB-SCDM can ensure the confidentiality and undeniability of information, as well as can effectively resist 51% attacks, eclipse attacks and double-spending attacks, etc. Through benchmark analysis, this scheme has higher computing efficiency and lower storage cost compared with other existing schemes.
Research Area(s)
- WARNING SYSTEM, SCHEME
Citation Format(s)
Trusted Blockchain-Based Signcryption Protocol and Data Management for Authentication and Authorization in VANETs. / Su, Jinqi; Ren, Runtao; Li, Yinghao et al.
In: Wireless Communications and Mobile Computing, Vol. 2022, 9572992, 2022.
In: Wireless Communications and Mobile Computing, Vol. 2022, 9572992, 2022.
Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
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