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Abstract: The anomaly detection problem can be formulated as one of learning to characterize the behaviors of an individual, system, or network in terms of temporal sequences of discrete data. We present an approach to this problem based on instance based learning (IBL) techniques. To cast the anomaly detection task in an IBL framework, we employ an approach that transforms temporal sequences of discrete, unordered observations into a metric space via a similarity measure that encodes intra-attribute... (Update)
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BibTeX entry: (Update)
Terran Lane and Carla E. Brodie. Temporal sequence learning and data reduction for anomaly detection. In 5th ACM Conference on Computer & Communications Security, pages 150--158, San Francisco, California, USA, 3--5 November 1998. http://citeseer.ist.psu.edu/article/lane98temporal.html More
@article{ lane99temporal,
author = "Terran Lane and Carla E. Brodley",
title = "Temporal sequence learning and data reduction for anomaly detection",
journal = "ACM Transactions on Information and System Security",
volume = "2",
number = "3",
pages = "295--331",
year = "1999",
url = "citeseer.ist.psu.edu/article/lane98temporal.html" }
Citations (may not include all citations):3972 Introduction to algorithms (context) - HOA, Charles et al. - 1992
2177 Programs for machine learning (context) - Quinlan - 1993
503 Instancebased learning algorithms (context) - Aha, Kibler et al. - 1991
490 Pattern Recognition and Neural Networks - Ripley - 1996
443 Discrete-Time Signal Processing (context) - Oppenheim, Schafer - 1989
133 IEEE Transactions on Software Engineering (context) - Denning, model - 1987
102 Statistical Pattern Recognition (context) - Fukunaga - 1990
68 A network security monitor (context) - Heberlein, Dias et al. - 1990
48 Classification and detection of computer intrusions - Kumar - 1995
41 Finding similar time series - Das, Gunopulos et al. - 1997
38 Haystack: An intrusion detection system (context) - Smaha - 1988
37 An application of pattern matching in intrusion detection - Kumar, Spafford - 1994
25 Sequence matching and learning in anomaly detection for comp.. - Lane, Brodley - 1997
21 A prototype real-time intrusion-detection expert system (context) - Lunt, Jagannathan - 1988
19 An application of machine learning to anomaly detection - Lane, Brodley - 1997
17 IDES: An intelligent system for detecting intruders (context) - Lunt - 1990
15 Locating protein coding regions in human DNA using a decisio.. - Salzberg - 1995
12 Learning to recognize promoter sequences in E (context) - Norton - 1994
10 A multicomponent nonlinear prediction system for the S&P 500.. - Chenoweth, Obradovic - 1996
7 Detecting the abnormal: Machine learning in computer securit.. - Lane, Brodley - 1997
5 Time-series similarity problems and well-separated geometric.. (context) - Bollob'as, Das et al. - 1997
4 A nearest hyperrectangular learning method (context) - Salzberg - 1991
4 Security Administrator Tool for Analyzing Networks (context) - Farmer, Venema - 1995
4 Current computer virus threats (context) - Gordon - 1996
3 Personal communication (context) - Spafford - 1998
3 Learning disjunctive concepts from examples (context) - Iba - 1979
3 Advances in instance-based learning algorithms (context) - Wilson - 1997
2 Filtering techniques for rapid user classification - Lane - 1998
2 and bi-level methods for stacking: Meta-methods for classifi.. (context) - Schaffer, stacking - 1994
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