Network Intrusion Detection Using Deep Learning (original) (raw)

Intrusion-detection system aims at detecting attacks against computer systems and networks or, in general, against information systems. Though various part of encryption techniques and firewalls are used to block common attacks, attackers always finds a way in intruding the network. This creates a huge need of dynamic network intrusion detection system where it can protect from nearly all types of attacks. Since dynamic nature of the system is concerned, it should be able to provide with a self-learning mechanism. Deep learning is one of the mostly preferred algorithms in dynamic learning. This paper proposes Convolution Neural Network (CNN) algorithm for intrusion detection.