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Dynamic Intrusion Detection Using Self-Organizing Maps (2002)  (Make Corrections)  (3 citations)
Peter Lichodzijewski A.Nur Zincir-Heywood



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Abstract: A system is described for applying hierarchical unsupervised neural networks (self organizing feature maps) to the intruder detection problem. Specific emphasis is given to the representation of time and the incremental development of a hierarchy. Preliminary results are given for the DARPA 1998 Intrusion Detection Problem. (Update)

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Unsupervised Learning Techniques for an Intrusion Detection.. - Zanero, Savaresi (2004)   (Correct)
Karta Tytuowa Pracy - Tytu Tematu Badawczego (2003)   (Correct)

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0.1:   International Journal of Computational Cognition.. - Volume Number Pages   (Correct)
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BibTeX entry:   (Update)

Lichodzijewski P., Zincir-Heywood A., Heywood M.: Dynamic Intrusion Detection Using Self Organizing Maps. Canadian Information Technology Security Symposium, 2002. http://citeseer.ist.psu.edu/lichodzijewski02dynamic.html   More

@misc{ lichodzijewski02dynamic,
  author = "P. Lichodzijewski and A. Zincir-Heywood and M. Heywood",
  title = "Dynamic Intrusion Detection Using Self Organizing Maps",
  text = "Lichodzijewski P., Zincir-Heywood A., Heywood M.: Dynamic Intrusion Detection
    Using Self Organizing Maps. Canadian Information Technology Security Symposium,
    2002.",
  year = "2002",
  url = "citeseer.ist.psu.edu/lichodzijewski02dynamic.html" }
Citations (may not include all citations):
39   Data exploration using Self-Organizing maps - Kaski - 1997
34   Fuzzy Model Identification based on Cluster Estimation (context) - Chiu - 1994
19   Mining in a data-flow environment: experience in network int.. - Lee, Stolfo et al. - 1999
9   Robust clustering method: a unified view (context) - Dave, Krishnapuram - 1997
2   Host-based intrusion detection using self-organizing maps - Lichodzijewski, Zincir-Heywood et al. - 2002

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