Reinforcement Learning for IoT Security: A Comprehensive Survey

The number of connected smart devices has been increasing exponentially for different Internet-of-Things (IoT) applications. Security a long run challenge in the IoT systems which many attack vectors, security flaws and vulnerabilities. Securing billions is must task to realize full potential Recently, researchers have proposed solutions IoT. Machine learning as one emerging reinforcement (RL) gaining more popularity securing systems. RL, unlike other machine techniques, can learn environment by having minimum information about parameters be learned. It solves optimization problem interacting with adapting on fly. In this article, we present an comprehensive survey types cyberattacks against then RL deep RL-based combat those attacks Furthermore, CPS (i.e., feedback control), such grid transportation system. recent important countermeasures using are also summarized form tables. With readers thorough understanding well research trends area.