Unsupervised anomaly detection based on an evolutionary artificial immune network

Lecture Notes in Computer Science

Volumn 3449, Issue , 2005, Pages 166-174

  Fang, Liu ^a   Le Ping, Lin ^a  

^a XIDIAN UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; DATA REDUCTION; HIERARCHICAL SYSTEMS; IMMUNOLOGY;

ANOMALY-DETECTION ALGORITHMS; ARTIFICIAL IMMUNE NETWORK; CLUSTERING ANALYSIS; UNLABELED TRAINING SAMPLE DATA;

EVOLUTIONARY ALGORITHMS;

EID: 24644520611     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-32003-6_17     Document Type: Conference Paper

References (13)

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3. Eleazar Eskin, Salvatore Stolfo, etc.: A Geometric Framework for Unsupervised Anomaly Detection: Detecting Intrusions in Unlabeled Data. Data Mining for Security Applications, Kluwer, 2002.
4. Leonid Portnoy: Intrusion Detection with Unlabeled Data using Clustering. Undergraduate Thesis, Columbia University: December 2000.
5. LUO Min, WANG Li-na, ZHANG Huan-guo: An Unsupervised Clustering-Based Intrusion Detection Method. ACTA ELECTRONICA SINICA, 2003, vol.30 (11): 1713-1716.
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11. F. M. Burnett: The Clonal Selection Theory of Immunity. Vanderbilt University Press, Nashville, 1959.
12. N. K. Jerne: Towards a Network Theory of the Immune System. Ann. Immunol. (Inst. Pasteur) 125C, p373-389, 1974.
13. Results of the KDD'99 Classifier Learning Contest, http://wwwcse.ucsd. edu/users/elkan/clresults.html