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A Secured Zobrist Hash Symmetric Sentinel List Based Malicious Attack Detection in Vanet.

Authors :
Jeyaram, G.
Madheswaran, M.
Source :
IETE Journal of Research; Feb2023, Vol. 69 Issue 2, p611-622, 12p
Publication Year :
2023

Abstract

VANET enables communication between the vehicles and Road Side units (RSUs). With the ever fast growth in industry and research necessitates the design of smart transportation system. Moreover, VANET success lies in the security features provided and it cannot be achieved precisely due to all type of security attacks. To secure the VANET against these types of security attacks, most of the research persons have proposed different security mechanisms based on lightweight and one way hash function. While both lightweight and one way hash function are efficient to certain degree, each method has some weakness to entirely secure the network. In this paper, we propose a list-based malicious attack detection scheme based on Zobrist Hash, called, Secured Zobrist Hash Symmetric Attack Detection (SZ-HSAD) to secure VANET to a larger extent. A system initialization is an essential part of trust establishment and secure communications between vehicles, the proposed SZ-HSAD integrates symmetric cryptography based initialization for efficient and robust trust management scheme. The system initialization includes Zobrist Hash Optimal Distance Registration. The trusted authority (TA) evaluates key for both the Road Side Unit (RSU) and vehicles based on the identity. Next, a list-based malicious attack detection using symmetric and sentinel node is designed for timely and early attack detection in VANET. The results are acquired with immense simulations to validate the proposed scheme. The results show that the proposed scheme converge security prerequisites, therefore reducing the average traffic overhead with minimum execution time and verification delay. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03772063
Volume :
69
Issue :
2
Database :
Complementary Index
Journal :
IETE Journal of Research
Publication Type :
Academic Journal
Accession number :
162174160
Full Text :
https://doi.org/10.1080/03772063.2022.2030812