Sangeetha Kodlipet Nanjundaswamy

A reinforcement learning-based intrusion detection system for internet of things with zero-day resilience

The conventional intrusion detection systems (IDS) are often found to be ineffective when faced with zero-day attacks that are novel compared to previously learned behavior patterns. This paper presents the development of a robust and adaptive IDS for the internet of things (IoT) using a deep Q-network (DQN) agent. A c...