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Machine Learning Techniques for the Computer Security Domain of Anomaly Detection (2000)  (Make Corrections)  (5 citations)
Terran D. Lane



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Abstract: : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : xv 1 (Update)


Context of citations to this paper:   More

...exhibits stable patterns when observed over a period of time. There are multiple approaches to such anomaly detection [5, 7, 13, 14, 15, 22, 23, 26], and most of them work by building a model or profile of the system that reflects its normal behavior. A simple approach is...

.... traditionally build profiles of normal user behavior and then search for the unusual sequences of events for consideration [DS98, FP99, Lan00] Unlike most systems that perform anomaly detection by audit trail processing o# line, our method works online, incrementally updating...

Cited by:   More
Misuse Detection for Information Retrieval Systems - Rebecca Cathey Ling   (Correct)
Anomaly Detection Using Real-Valued Negative Selection - Gonzalez, Dasgupta (2004)   (Correct)
ADMIT: Anomaly-based Data Mining for Intrusions - Sequeira, Zaki   (Correct)

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1.1:   Hidden Markov Models for Human/Computer Interface Modeling - Lane (1999)   (Correct)
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BibTeX entry:   (Update)

T. Lane. Machine Learning Techniques For The Computer Security. PhD thesis, Purdue University, 200. http://citeseer.ist.psu.edu/lane00machine.html   More

@misc{ lane-machine,
  author = "T. Lane",
  title = "Machine Learning Techniques For The Computer Security",
  text = "T. Lane. Machine Learning Techniques For The Computer Security. PhD thesis,
    Purdue University, 200.",
  url = "citeseer.ist.psu.edu/lane00machine.html" }
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Documents on the same site (http://www.ai.mit.edu/people/terran/research/publist.html):   More
Hidden Markov Models for Human/Computer Interface Modeling - Lane (1999)   (Correct)
Temporal Sequence Learning and Data Reduction for Anomaly.. - Lane, Brodley (1998)   (Correct)
Toward Hierachical Decomposition for Planning in Uncertain.. - Lane, Kaelbling (2001)   (Correct)

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