Dimension Reduction For Classification Using Principal Component Analysis (PCA) To Detect Malicious Executables

Dimension Reduction For Classification Using Principal Component Analysis (PCA) To Detect Malicious Executables

The development of cyberspace is not only facilitate people's lives. It should also be in line with security awareness related to personal and enterprise systems. Estimates of the number of new malware in 2013 reached 600 million, and has grown rapidly in recent years. Malware can attack a wide...

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书目详细资料
主要作者:	Jamal, Zalifh
格式:	Thesis
语言:	English English
出版:	2017
主题:	Q Science (General) QA Mathematics
在线阅读:	http://eprints.utem.edu.my/id/eprint/20734/1/Dimension%20Reduction%20For%20Classification%20Using%20Principal%20Component%20Analysis%20%28PCA%29%20To%20Detect%20Malicious%20Executables%20-%20Zalifh%20Jamal%20-%2024%20Pages.pdf http://eprints.utem.edu.my/id/eprint/20734/2/Dimension%20Reduction%20For%20Classification%20Using%20Principal%20Component%20Analysis%20%28PCA%29%20To%20Detect%20Malicious%20Executables.pdf
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