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There have been numerous works on network intrusion detection and preventionsystems, but work on application layer intrusion detection and prevention israre and not very mature. Intrusion detection and prevention at both networkand application layers are important for cyber-security and enterprise systemsecurity. Since application layer intrusion is increasing day by day, it isimperative to give adequate attention to it and use state-of-the-art algorithmsfor effective detection and prevention. This paper talks about current state ofapplication layer intrusion detection and prevention capabilities in commercialand open-source space and provides a path for evolution to more mature statethat will address not only enterprise system security, but also nationalcyber-defence. Scalability and cost-effectiveness were important factors whichshaped the proposed solution.

Application Layer Intrusion Detection with Combination of Explicit-Rule-  Based and Machine Learning Algorithms and Deployment in Cyber- Defence  Program