Work

A Blockchain-Based Reputation-Enhanced Vehicle Selection (REVS) for Computation Offloading

Year: 2025

Type: conference-paper

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 fixed-reputation and random selection methods that ignore trust.

Source: IEEE Vehicular Technology Conference

DOI: 10.1109/vtc2025-fall65116.2025.11310384

Authors: Sharifah Fayi, Ferheen Ayaz, Zhengguo Sheng

Institutions: University of Sussex, University of London, St George's, University of London, City St George's, University of London

Language: English

Topic: IoT and Edge/Fog Computing

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: green

OpenAlex ID: W7118444987