Deep Reinforcement Learning for Security-Aware Task Offloading in IoT Edge Computing: A Systematic Survey of Frameworks, Challenges, and Future Directions
Background: IoT devices deployed in hospitals, factories, vehicles, and homes are largely unable to defend themselves. Limited compute and power budgets make running a local intrusion detector impractical, even as the traffic these devices generate grows increasingly attractive to attackers. DRL offers a practical alte...