Comparative analysis of combinations of dimension reduction and data mining techniques for malware detection

Many malware detectors utilize data mining techniques as primary tools for pattern recognition. As malware continue to be produced at an increasing rate, so does the need more efficient and effective detectors. However, detection speed and accuracy are us

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Bibliographic Details
Main Author:	JEFFREY, YIU
Format:	text
Published:	Archīum Ateneo 2011
Subjects:	Malware (Computer software Computer networks > Security measures Computer security
Online Access:	https://archium.ateneo.edu/theses-dissertations/164
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Institution:	Ateneo De Manila University

id	ph-ateneo-arc.theses-dissertations-1290
record_format	eprints
spelling	ph-ateneo-arc.theses-dissertations-12902021-04-11T05:42:03Z Comparative analysis of combinations of dimension reduction and data mining techniques for malware detection JEFFREY, YIU Many malware detectors utilize data mining techniques as primary tools for pattern recognition. As malware continue to be produced at an increasing rate, so does the need more efficient and effective detectors. However, detection speed and accuracy are us 2011-01-01T08:00:00Z text https://archium.ateneo.edu/theses-dissertations/164 Theses and Dissertations (All) Archīum Ateneo Malware (Computer software Computer networks -- Security measures Computer security
institution	Ateneo De Manila University
building	Ateneo De Manila University Library
continent	Asia
country	Philippines Philippines
content_provider	Ateneo De Manila University Library
collection	archium.Ateneo Institutional Repository
topic	Malware (Computer software Computer networks -- Security measures Computer security
spellingShingle	Malware (Computer software Computer networks -- Security measures Computer security JEFFREY, YIU Comparative analysis of combinations of dimension reduction and data mining techniques for malware detection
description	Many malware detectors utilize data mining techniques as primary tools for pattern recognition. As malware continue to be produced at an increasing rate, so does the need more efficient and effective detectors. However, detection speed and accuracy are us
format	text
author	JEFFREY, YIU
author_facet	JEFFREY, YIU
author_sort	JEFFREY, YIU
title	Comparative analysis of combinations of dimension reduction and data mining techniques for malware detection
title_short	Comparative analysis of combinations of dimension reduction and data mining techniques for malware detection
title_full	Comparative analysis of combinations of dimension reduction and data mining techniques for malware detection
title_fullStr	Comparative analysis of combinations of dimension reduction and data mining techniques for malware detection
title_full_unstemmed	Comparative analysis of combinations of dimension reduction and data mining techniques for malware detection
title_sort	comparative analysis of combinations of dimension reduction and data mining techniques for malware detection
publisher	Archīum Ateneo
publishDate	2011
url	https://archium.ateneo.edu/theses-dissertations/164
_version_	1712577796616749056

Comparative analysis of combinations of dimension reduction and data mining techniques for malware detection

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