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A Trust-Driven Reliable Code Dissemination Framework for UAV-Assisted IoT Networks
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DOI：10.1109/jiot.2026.3703919.png)
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Abstract
En 中文
Urban smart sensing devices (SSDs) require timely and secure code updates to maintain reliable operation. However, trust verification in vehicle-assisted code dissemination remains insufficiently explored, making systems vulnerable to malicious vehicles that distribute corrupted or outdated code. This article proposes a trust-driven reliable code dissemination (TRCD) scheme, where mobile vehicles opportunistically act as “code mules” for efficient and secure dissemination. TRCD employs a two-layer trust evaluation mechanism: 1) selected anchor SSDs evaluate local vehicle trust in real time and 2) the code center constructs global trust by aggregating UAV-verified and local high-trust vehicle (LHTV) reported reputation information to identify trustworthy vehicles and exclude malicious ones. To improve dissemination efficiency, we further design: 1) an anchor SSD selection algorithm for cost-efficient trust collection; 2) a token-based mechanism for prioritizing high-value tokens under storage constraints; and 3) a genetic algorithm-based UAV trajectory optimization method for trust-aware dissemination. We also provide theoretical analysis on convergence behavior, computational complexity, and performance bounds. Extensive simulations using real-world taxi trajectory datasets show that TRCD achieves 98.2% trusted-vehicle identification accuracy, 99.4% malicious-vehicle detection accuracy, and reduces UAV flight distance by 64.5% compared with baseline methods, while significantly improving dissemination reliability. These results demonstrate that TRCD provides an efficient, scalable, and secure solution for urban SSD code dissemination.
Keywords:
Edge computing
mobile crowdsensing (MCS) vehicles
secure code dissemination
trust-driven code dissemination
uncrewed aerial vehicles (UAVs)
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