Approaches for Detecting and Predicting Attacks Based on Deep and Reinforcement Learning to Improve Information Security
Nayana Hegde, Sunilkumar S. Manvi · Advances in computational intelligence and robotics book series · 2022
The continued growth and widespread use of the internet benefit many network users in various ways. Meanwhile, network protection becomes increasingly essential as the internet becomes more widely used. Though, as the number of internet-connected systems in finance, e-commerce, and the military grows, they are becoming targets of network attacks, posing a noteworthy challenge and causing significant harm. Essentially, practical strategies for detecting and defending against attacks, as well as maintaining network protection, are needed. Furthermore, various types of attacks must typically be dealt with in different ways. This chapter summarizes some of the important deep learning techniques and reinforcement techniques for information security by providing various methods for attack detection and corrections.