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An integrated malware detection and classification system

Tian, Ronghua 2011, An integrated malware detection and classification system, Ph.D. thesis, School of Information Technology, Deakin University.

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Title An integrated malware detection and classification system
Author Tian, Ronghua
Institution Deakin University
School School of Information Technology
Faculty Faculty of Science and Technology
Degree type Research doctorate
Degree name Ph.D.
Thesis advisor Batten, Lynn
Date submitted 2011-08
Summary This thesis is to develop effective and efficient methodologies which can be applied to continuously improve the performance of detection and classification on malware collected over an extended period of time. The robustness of the proposed methodologies has been tested on malware collected over 2003-2010.
Language eng
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
Copyright notice ┬ęThe author
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30043244

Document type: Thesis
Collections: Higher degree theses (full text)
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Created: Thu, 15 Mar 2012, 13:07:57 EST by Yelena Cockett

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.