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Abstract: To balance the examination of large quantities of data with the difficulty of comprehending such quantities, we propose a geometric approach to detection enhanced by a visual component. Visually presented information can encode large amounts of complex, interrelated data, can be quantified and manipulated, and is something that human beings naturally process well. Limitations of traditional intrusion detection system (IDS) techniques are as much a function of the ability of a human to process... (Update)
Context of citations to this paper: More
.... present the information to the SSO has not really been addressed since the paper was published, excepting perhaps the cursory treatment in [56]. 2.2 MIDAS Expert systems in intrusion detection: A case study 2.2.1 Introduction MIDAS [50] was developed by the National Computer...
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BibTeX entry: (Update)
Greg Vert, Deborah A. Frincke, and Jesse C. McConnell. A visual mathematical model for intrusion detection. In Proceedings of the 21st National Information Systems Security Conference, Crystal City, Arlington, VA, USA, October 5-8 1998. NIST, National Institute of Standards and Technology/National Computer Security Center. http://citeseer.ist.psu.edu/vert98visual.html More
@inproceedings{ vert98visual,
author = "G. Vert and D. A. Frincke and J. C. McConnell",
title = "A Visual Mathematical Model for Intrusion Detection",
booktitle = "Proc. 21st {NIST}-{NCSC} National Information Systems Security Conference",
pages = "329--337",
year = "1998",
url = "citeseer.ist.psu.edu/vert98visual.html" }
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