Consumer Technology in Focus: Post-Quantum Security for Fog Computing IoT Systems Against Eavesdropping

The current fog computing IoT systems, widely utilized in consumer technology applications, are vulnerable to eavesdropping attacks during the physical communication transmission process. Existing fog computing-related research has not effectively addressed this issue. To achieve physical layer security (PLS) communication in fog computing IoT systems, especially in consumer technology, to counteract malicious eavesdropping by multiple eavesdroppers, a Physical Layer Security Fog Computing IoT (PSFC-IoT) system is proposed. The system’s secrecy rate in secure communication scenarios is analyzed. To address the resource allocation problem in the network, a joint resource allocation method based on the Post Quantum Beetle Optimization Algorithm (QBOA) is proposed, and the suggested approach is examined for convergence. The results of the simulation show that the suggested model works and that different environmental parameters affect the system’s secrecy performance. Moreover, the simulation results show that the proposed method achieves optimal secrecy performance in various communication scenarios. The suggested solution increases the secrecy rate of fog computing IoT networks while satisfying the latency needs of IoT users, including those who utilize consumer electronics like wearables, smart home systems, and linked appliances.