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Computational immunology for anomaly detection

Hang, Xiaoshu. 2006, Computational immunology for anomaly detection, Ph.D. thesis, School of Engineering and Information Technology, Deakin University.


Title Computational immunology for anomaly detection
Author Hang, Xiaoshu.
Institution Deakin University
School School of Engineering and Information Technology
Faculty Faculty of Science and Technology
Degree name Ph.D.
Date submitted 2006
Keyword(s) Anomaly detection (Computer security)
Immunoinformatics
Summary The thesis makes a significant contribution to the issue of anomaly detection by introducing a computational immunology approach. Immunity-based anomaly detection in high dimensional space is systematically investigated and the proposed hybrid method (combining data mining techniques and computational immunology) improves both accuracy and efficiency.
Language eng
Description of original xviii, 248 p. ; 30 cm.
Dewey Decimal Classification 006.312
Persistent URL http://hdl.handle.net/10536/DRO/DU:30027021

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Created: Thu, 01 Apr 2010, 15:51:42 EST

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