City Research Online

Abstract

Vehicular computation offloading (VCOff) enables resource-constrained vehicles to delegate delay-sensitive tasks to nearby providers. However, it remains vulnerable to strategic malicious nodes that withhold results, or behave intermittently to evade detection. Although reputation values evolve across repeated interactions, long-term security depends on how these signals are governed and enforced at the decision layer. This paper introduces REVS-T, a four-tier governance and tieraware selection mechanism using reputation bands, warningstreak escalation, and pool partitioning. Under persistent attack at 50 % adversarial ratio, REVS-T achieves 91.9 % task success and 96.7 % malicious avoidance with zero false exclusions, outperforming Threshold by 5.5 % and Beta by 14.9 %. A four-step ablation under shared reputation-update logic shows composite scoring and four-tier governance as the dominant drivers, with ST-conditioned initialization providing phase-shift adaptation and a fairness guarantee no evaluated baseline achieves.

Publication Type:	Conference or Workshop Item (Paper)
Additional Information:	© 2026 IEEE. This accepted manuscript is made available under the terms of the Creative Commons Attribution License (CC-BY), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited.
Publisher Keywords:	vehicular edge computing, provider selection, trust governance, security, computation offloading
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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