City Research Online

Abstract

—Secure and trustworthy computation offloading is essential in vehicular edge computing to ensure reliability and efficiency. Existing algorithms often emphasize efficiency over security, leaving systems exposed to malicious providers. This paper presents the Reputation-Enhanced Vehicle Selection (REVS) framework, which combines social trust-based initialization, direction alignment, and a weighted trust score based on provider reputation and stay time. To enhance provider selection reliability, REVS employs a lightweight consortium blockchain for decentralized and distributed reputation management, with a smart contract deployed at the edge RSU to automate the selection process. Simulations show that REVS improves task success rates by up to 40.85%, avoids 40.70% more malicious providers, and reduces latency by 20%, outperforming fixedreputation and random selection methods that ignore trust.

Publication Type:	Conference or Workshop Item (Paper)
Additional Information:	For the purpose of open access, the author(s) has applied a Creative Commons Attribution (CC BY) license to any Accepted Manuscript version arising.
Publisher Keywords:	Vehicular networks, computation offloading, provider selection, blockchain, social trust, reputation, security
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science T Technology > TL Motor vehicles. Aeronautics. Astronautics
Departments:	School of Science & Technology School of Science & Technology > Department of Computer Science
SWORD Depositor:	Symplectic Administrator

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