Goudarzi, Shidrokh and Soleymani, Seyed Ahmad and Anisi, Mohammad Hossein and Azgomi, Mohammad Abdollahi and Movahedi, Zeinab and Kama, Nazri and Rusli, Hazlifah Mohd and Khan, Muhammad Khurram (2022) A privacy-preserving authentication scheme based on Elliptic Curve Cryptography and using Quotient Filter in fog-enabled VANET. Ad Hoc Networks, 128. p. 102782. DOI https://doi.org/10.1016/j.adhoc.2022.102782
Goudarzi, Shidrokh and Soleymani, Seyed Ahmad and Anisi, Mohammad Hossein and Azgomi, Mohammad Abdollahi and Movahedi, Zeinab and Kama, Nazri and Rusli, Hazlifah Mohd and Khan, Muhammad Khurram (2022) A privacy-preserving authentication scheme based on Elliptic Curve Cryptography and using Quotient Filter in fog-enabled VANET. Ad Hoc Networks, 128. p. 102782. DOI https://doi.org/10.1016/j.adhoc.2022.102782
Goudarzi, Shidrokh and Soleymani, Seyed Ahmad and Anisi, Mohammad Hossein and Azgomi, Mohammad Abdollahi and Movahedi, Zeinab and Kama, Nazri and Rusli, Hazlifah Mohd and Khan, Muhammad Khurram (2022) A privacy-preserving authentication scheme based on Elliptic Curve Cryptography and using Quotient Filter in fog-enabled VANET. Ad Hoc Networks, 128. p. 102782. DOI https://doi.org/10.1016/j.adhoc.2022.102782
Abstract
Security and privacy are considered as two main challenges in Vehicular Ad Hoc Network (VANET). To cope with these challenges and in order to improve the safety of VANET, we propose a secure and privacy-preserving authentication scheme. In the proposed scheme, Quotient Filter (QF) is used to address node authentication while message authentication is done based on Elliptic Curve Cryptography (ECC). Besides, each vehicle is mapped to a different pseudo-identity to preserve privacy in VANET. Moreover, due to the higher computational capabilities of Fog Nodes (FN) compared to Road-Side Units (RSUs), they are distributed over the side of the road to minimize the latency of the security model and enhance the system throughput. Our security analysis demonstrates that the proposed scheme is able to identify illegitimacy vehicle nodes and invalid messages when the fog-enabled VANET is exposed to attacks. Furthermore, the performance evaluations prove the effectiveness of our work compared to the existing studies.
Item Type: | Article |
---|---|
Uncontrolled Keywords: | Authentication; Privacy; Quotient Filter; Fog computing; Big data; VANET |
Divisions: | Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 14 Feb 2022 12:18 |
Last Modified: | 30 Oct 2024 20:47 |
URI: | http://repository.essex.ac.uk/id/eprint/32293 |
Available files
Filename: Privacy_Preserving_Authentication.pdf
Licence: Creative Commons: Attribution-Noncommercial-No Derivative Works 3.0