Neural network approach for intrusion detection

Authors:
Amit Kumar Choudhary;Akhilesh Swarup
Affiliations:
National Institute of Technology, Kurukshetra, Kurukshetra, Haryana, India;Galgotias College of Engineering & Tech., Gr. Noida, Kurukshetra, India
Venue:
Proceedings of the 2nd International Conference on Interaction Sciences: Information Technology, Culture and Human
Year:
2009

Citing 2
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An Intrusion-Detection Model

IEEE Transactions on Software Engineering - Special issue on computer security and privacy
Advanced algorithms for neural networks: a C++ sourcebook

Advanced algorithms for neural networks: a C++ sourcebook

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Abstract

Intrusion Detection System is based on the belief that an intruder's behavior will be noticeably different from that of a legitimate user and would exploit security vulnerabilities. This paper proposes a neural network approach to improve the alert throughput of a network and making it attack prohibitive using IDS. For evolving and testing intrusion the KDD CUP 99 dataset are used. The result of proposed approach is found to be more efficient in the area of Intrusion Detection and promises a good scope for further research.