A Study on Static PE Malware Type Classification Using Machine Learning Techniques

A Study on Static PE Malware Type Classification Using Machine Learning Techniques

碩士 === 國立成功大學 === 電腦與通信工程研究所 === 107 === This work aims to build an efficient, reliable and practical static malware classification system based on PE format files for Windows platform using machine learning techniques. With static analysis, feature extraction and anomaly detection can be done witho...

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Bibliographic Details
Main Authors:	Shao-HuaiZhang, 張少懷
Other Authors:	Chu-Sing Yang
Format:	Others
Language:	zh-TW
Published:	2019
Online Access:	http://ndltd.ncl.edu.tw/handle/w64t7t

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