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A security and privacy scheme based on node and message authentication and trust in fog-enabled VANET

Soleymani, Seyed Ahmad and Goudarzi, Shidrokh and Anisi, Mohammad Hossein and Zareei, Mahdi and Abdullah, Abdul Hanan and Kama, Nazri (2021) 'A security and privacy scheme based on node and message authentication and trust in fog-enabled VANET.' Vehicular Communications, 29. p. 100335. ISSN 2214-2096

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Security and privacy are the most important concerns related to vehicular ad hoc network (VANET), as it is an open-access and self-organized network. The presence of ‘selfish’ nodes distributed in the network are taken into account as an important challenge and as a security threat in VANET. A selfish node is a legitimate vehicle node which tries to achieve the most benefit from the network by broadcasting wrong information. An efficient and proper security model can be useful to tackle advances from attackers, as well as selfish nodes. In this study, a privacy-preserving node and message authentication scheme, along with a trust model was developed. The proposed node authentication ensures the legitimacy of the vehicle nodes, whereas the message authentication was developed to ensure the message's integrity. To deal with selfish nodes, an experience-based trust model was also designed. Additionally, to fulfill the privacy-preserving aspect, the mapping of each vehicle was performed using a different pseudo-identity. In this paper, fog nodes instead of road-side units (RSUs), were distributed along the roadside. This was mainly because of the fact that fog computing reduces latency, and results in increased throughput. Security analysis indicated that our scheme met the VANETs' security requirements. In addition, the performance analysis showed that the proposed scheme had a lower communication and computation overhead, compared to the other related works. Monte-Carlo simulation results were applied to estimate the false-positive rates (FPR), which also proved the validity of the proposed security scheme.

Item Type: Article
Uncontrolled Keywords: Authentication; Privacy; Trust; Fog node; Quotient filter; VANET
Divisions: Faculty of Science and Health
Faculty of Science and Health > Computer Science and Electronic Engineering, School of
SWORD Depositor: Elements
Depositing User: Elements
Date Deposited: 28 Feb 2021 21:13
Last Modified: 22 Jan 2022 02:00

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