Cyber Attack Detection Using Bellman Optimality Equation in Reinforcement Learning
Monali Nitesh Shetty, Sharvari Tamane · Advances in computer science research · 2023
Cyber-attacks have been always a part of any application that is run on internet.It is a quintessential need to protect vulnerable data from being attacked by malicious people.Along with that it is also necessary to prevent any mishap that has been planned by hackers to destroy or tamper a company's progress or ongoing work.This research gives a solution that uses reinforcement learning to understand and learn the attack beforehand so that whenever the attack is performed in the future, it will be caught by the system and the authorities can perform preventative measures to avoid the damage.The main objective of this research is dealing with Denial of Service attack in network.The research provides an in-depth view of how attacks can be manifested by malicious individuals.It is also to be noted that the simulation of attacks has also been carried out to understand it better and provide solution for the same in the form of detection mechanism.The use of artificial intelligence, reinforcement learning provides the agent a freedom to explore the environment and understand what an attack is and what is not unlike traditional machine learning algorithms that are restricted to a particular dataset which requires a lot of maintenance and storage.