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2012 IEEE Symposium on Security and Privacy (1992)
Oakland, CA
May 4, 1992 to May 6, 1992
ISSN: 1540-7993
ISBN: 0-8186-2825-1
pp: 240
In this paper, we present a possible application of neural networks as a component of an intrusion detection system. Neural network algorithms are emerging nowadays as a new artificial intelligence technique that can be applied to real-life problems. We present an approach of user behavior modeling that takes advantage of the properties of neural algorithms and display results obtained on preliminary testing of our approach.
Didier SIBONI, Monique BECKER, Herve DEBAR, "A Neural Network Component for an Intrusion Detection System", 2012 IEEE Symposium on Security and Privacy, vol. 00, no. , pp. 240, 1992, doi:10.1109/RISP.1992.213257
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