Title
Full Session Key Agreement Scheme Based on Chaotic Map in Vehicular Ad Hoc Networks
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.
Year
DOI
Venue
2020
10.1109/TVT.2020.2997694
IEEE Transactions on Vehicular Technology
Keywords
DocType
Volume
Vehicular ad hoc networks (VANETs),privacy-preserving authentication,session key agreement,chaotic maps,fog-based VANETs
Journal
69
Issue
ISSN
Citations 
8
0018-9545
2
PageRank 
References 
Authors
0.36
0
5
Name
Order
Citations
PageRank
Jie Cui115321.52
Yali Wang220.36
Jing Zhang3606.90
Yan Xu4817.80
Hong Zhong520833.15