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...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Jamal, Zalifh
التنسيق: أطروحة
اللغة:English
English
منشور في: 2017
الموضوعات:
Q Science (General)
QA Mathematics
الوصول للمادة أونلاين: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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