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Full Session Key Agreement Scheme Based on Chaotic Map in Vehicular Ad Hoc Networks.

Authors :
Cui, Jie
Wang, Yali
Zhang, Jing
Xu, Yan
Zhong, Hong
Source :
IEEE Transactions on Vehicular Technology; Aug2020, Vol. 69 Issue 8, p8914-8924, 11p
Publication Year :
2020

Abstract

Vehicular ad hoc networks (VANETs) are wireless self-organizing networks, whose communication is conducted through open wireless channels, thus making it vulnerable to various attacks. It is therefore necessary to employ encryption technology to ensure secure communication. In view of the foregoing, key agreement techniques are introduced to VANET communications. The group key agreement (GKA) protocol allows a group of participants to establish a public session key for a secure communication channel over an insecure network. The traditional GKA protocol is inefficient, however, and consumes considerable amounts of resources. With the aim of resolving problems related to information security and privacy preservation in VANETs, this paper proposes a full session key agreement scheme based on chaos mapping. In this paper, the first phase describes the key agreement between the fog server and group administrator; the second phase describes the group key agreement for vehicle nodes in the group where the vehicle can only communicate with vehicles having the same group key without the aid of a trusted key center or centralized key distributor. The proposed scheme is based on Chebyshev chaotic mapping algorithm, in which a chaotic map is utilized to provide a one-way hash; Chebyshev polynomial is also employed to establish a public multi-party key; it avoids the modular multiplication index or scalar multiplication on the elliptic curve. The proposed scheme does not only satisfy the security requirements in VANETs but also performs detailed analysis. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00189545
Volume :
69
Issue :
8
Database :
Complementary Index
Journal :
IEEE Transactions on Vehicular Technology
Publication Type :
Academic Journal
Accession number :
145198337
Full Text :
https://doi.org/10.1109/TVT.2020.2997694