Survey on Deep learning based Network Intrusion Detection and Prevention Systems

Abstract

Where world is moving towards digitalization, it is crucial that network intrusions detection and prevention is addresses in ordered to create a secured network. This paper covers why deep learning was considered and what are the deep learning approaches for network intrusion detection. For each approach the challenges, missed elements and the unique features that are found in current domain state are also highlighted. As a conclusion this paper highlights why CNN and LSTM would be successful approach for intrusion detection and why in the current domain context it is required to create scalable solution with both intrusion detection and prevention involved.