Deep Learning Approach for Intelligent Intrusion Detection System

Mamoun Alazab, Ameer Al-Nemrat, K P. Soman, Sitalakshmi Venkatraman, R. Vinayakaumar & Prabaharan Poornachandran
Machine learning techniques are being widely used to develop an intrusion detection system (IDS) for detecting and classifying cyberattacks at the network-level and the host-level in a timely and automatic manner. However, many challenges arise since malicious attacks are continually changing and are occurring in very large volumes requiring a scalable solution. There are different malware datasets available publicly for further research by cyber security community. However, no existing study has shown the detailed analysis...
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