Reinforcement Learning for the Problem of Detecting Intrusion in a Computer System

In recent years, there are many research works focus on studying the intrusion detection systems. Several recent research works have utilized the power of supervised machine learning algorithms to achieve near-perfect predictive performance in modern intrusion datasets. However, these algorithms require huge labeled datasets that usually is not available in practice. In this paper, we analyze the possibility of using reinforcement learning in the problem of intrusion detection. Our experimental results show promising results compared to the other recent studies.