Logo image
CIA security for Internet of Vehicles and blockchain-AI integration
Journal article   Open access   Peer reviewed

CIA security for Internet of Vehicles and blockchain-AI integration

Tao Hai, Muammer Aksoy, Celestine Iwendi, Ebuka Ibeke and Senthilkumar Mohan
Journal of Grid Computing, Vol.22(2), 43
Journal of Grid Computing.
06/2024

Abstract

Blockchain Security Internet of Vehicles CIA Security Confidentiality AI-Game Theory Authentication Integrity Physical Unclonable Functions
The lack of data security and the hazardous nature of the Internet of Vehicles (IoV), in the absence of networking settings, have prevented the openness and self-organization of the vehicle networks of IoV cars. The lapses originating in the areas of Confidentiality, Integrity, and Authenticity (CIA) have also increased the possibility of malicious attacks. To overcome these challenges, this paper proposes an updated Games-based CIA security mechanism to secure IoVs using Blockchain and Artificial Intelligence (AI) technology. The proposed framework consists of a trustworthy authorization solution with three layers, including the authentication of vehicles using Physical Unclonable Functions (PUFs), a flexible Proof-of-Work (dPOW) consensus framework, and AI-enhanced duel gaming. The credibility of the framework is validated by different security analyses, showcasing its superiority over existing systems in terms of security, functionality, computation, and transaction overhead. Additionally, the proposed solution effectively handles challenges like side channel and physical cloning attacks, which many existing frameworks fail to address. The implementation of this mechanism involves the use of a reduced encumbered blockchain, coupled with AI-based authentication through duel gaming, showcasing its efficiency and physical-level support, a feature not present in most existing blockchain-based IoV verification frameworks.
pdf
update_CIA_Security_for_Internet_of_Vehicles_and_Blockchain_Integration (2).pdf12.11 MBDownloadView
AcceptedIn Copyright All Rights Reserved Open Access
url
Link to Published VersionView
Published (Version of record)Publisher sites may require subscription to read contentIn Copyright All Rights Reserved Restricted
url
https://rgu-repository.worktribe.com/output/2255343View
Open

Metrics

5 File views/ downloads
26 Record Views
5 Times Cited - Scopus

Details

Logo image

Usage Policy