A Malicious Node-Resistant Task Offloading Strategy for Edge Computing

To fully exploit the performance advantages of edge computing, designing rational task offloading strategies is critical for optimizing edge resource utilization. However, existing studies inadequately account for task offloading in adversarial environments, where malicious nodes may disrupt offloading chain stability, significantly increase task completion latency, or even invalidate offloading decisions. To this end, this paper proposes a malicious node-resistant task offloading optimization strategy for edge computing, focusing on latency minimization under constrained edge server caching and computational resources. First, we design a hierarchical task offloading model that incorporates malicious nodes. Based on this model, we propose a malicious node-isolated task offloading mechanism that achieves global latency optimization under resource constraints. Experimental Results demonstrate that our approach reduces system latency in malicious node scenarios compared to benchmark algorithms.