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Abstract: Network intrusion detection is the problem of detecting anomalous network connections caused by intrusive activities. Many intrusion detection systems proposed before use both normal and intrusion data to build their classifiers. However, intrusion data are usually scarce and difficult to collect. We propose to solve this problem using a novelty detection approach. In particular, we propose to take a nonparametric density estimation approach based on Parzen-window estimators with Gaussian... (Update)
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BibTeX entry: (Update)
D.Y. Yeung and C. Chow, "Parzen window network intrusion detectors", Proc. Interna tional Conference on Pattern Recognition, 2002. http://citeseer.ist.psu.edu/yeung02parzenwindow.html More
@inproceedings{ yeung02parzenwindow,
author = "Dit-Yan Yeung and Calvin Chow",
title = "Parzen-Window Network Intrusion Detectors",
booktitle = "Proc. of the Sixteenth International Conference on Pattern Recognition",
volume = "4",
pages = "385--388",
location = "Quebec City, Canada",
month = aug # " 11--15,",
year = "2002",
url = "citeseer.ist.psu.edu/yeung02parzenwindow.html",
url = "http://citeseer.nj.nec.com/505644.html" }
Citations (may not include all citations):209 On estimation of a probability density function and mode - Parzen - 1962
133 IEEE Transactions on Software Engineering (context) - Denning, model - 1987
123 Bro: a system for detecting network intruders in real-time - Paxson - 1999 DBLP
81 A probabilistic resource allocating network for novelty dete.. (context) - Roberts, Tarassenko - 1994 ACM
35 Mining audit data to build intrusion detection models - Lee, Stolfo et al. - 1998 DBLP
32 Novelty detection and neural network validation - Bishop - 1994
27 A study in using neural networks for anomaly and misuse dete.. (context) - Ghosh, Schwartzbard - 1999
21 A novelty detection approach to classification - Japkowicz, Myers et al. - 1995
16 Information-theoretic measures for anomaly detection - Lee, Xiang - 2001 ACM DBLP
13 line unsupervised outlier detection using finite mixtures wi.. - Yamanishi, Takeuchi et al. - 2000
6 Novelty detection using extreme value statistics - Roberts - 1999
4 Improving intrusion detection performance using keyword sele.. - Lippmann, Cunningham - 2000 ACM DBLP
2 Neural networks applied in intrusion detection systems (context) - Jr, Cansian et al. - 1998
2 Neural tree density estimation for novelty detection (context) - Martinez - 1998
2 An application of machine learning to network intrusion dete.. (context) - Sinclair, Pierce et al. - 1999 ACM DBLP
1 Autoassociation and novelty detection by neuromechanics (context) - Daunicht - 1991
1 Applying CMAC-based on-line learning to intrusion detection (context) - Cannady - 2000
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