An Unsupervised Anomaly Detection Patterns Learning Algorithm

International Conference on Communication Technology Proceedings, ICCT

Volumn 1, Issue , 2003, Pages 400-402

  Yang, Yingjie ^a   Ma, Fanyuan ^a  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

Author keywords

Anomaly Detection; Intrusion Detection; Pattern Learning

Indexed keywords

ANOMALY DETECTION; INTRUSION DETECTION; PATTERN LEARNING;

COMPUTER SIMULATION; LEARNING ALGORITHMS; MATHEMATICAL MODELS; PATTERN RECOGNITION; PROBABILITY; VECTORS;

COMPUTER SCIENCE;

EID: 1642588421     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (5)

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2. E. Eskin, A. Arnold, M. Prerau, etc. A Geometric Framework for Unsupervised Anomaly Detection: Detecting Intrusions in Unlabeled Data. Published in Data Mining for Security Applications. Kluwer 2002.
3. M. Halkidi, Y. Batistakis, and M. Vazirgiannis. Clustering Algorithms and Validity Measures. 0-7695-1218-6/01 2001 IEEE.
4. D. Ventura. On Discretization as a Preprocessing Step for Supervised Learning Models. [Master Thesis]. Department of Computer Science Brigham Young University. April 1995.
5. th International Conference on Machine Learning, July 1998.