Intelligent Post-Quantum Cryptography for Secure Consumer Internet of Things Networks

The rapid growth of consumer Internet of Things (IoT) networks is transforming industries while introducing complex security challenges, particularly in the era of quantum computing, which threatens traditional encryption methods. Post-quantum cryptography (PQC) provides quantum-resistant protection, yet static deployment often fails to meet the dynamic and resource-constrained requirements of IoT systems. To address this, we propose an intelligent and adaptive security framework that integrates lattice-based PQC with a graph neural network (GNN) and a deterministic soft actor-critic (DSAC) algorithm. The GNN continuously monitors network activity to detect anomalies and provides real-time threat intelligence to the DSAC agent, which dynamically adjusts PQC parameters to optimize security. Simulation results demonstrate that the proposed framework can improve security by up to 40% while reducing computational cost and latency by 27% and 46%, respectively, highlighting the potential of AI-driven, post-quantum cryptography for securing dynamic IoT networks.