Machine learning based hybrid behavior model for Android malware analysis

碩士 === 國立臺灣大學 === 電機工程學研究所 === 102 === Malware analysis on the Android platform has been an important issue as the platform is prevalent. We proposed a detection approach based on a static analysis and machine learning techniques to obtain a considerably accurate Android malware classifier. By condu...

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Bibliographic Details
Main Authors: Hsin-Yu Chuang, 莊欣瑜
Other Authors: Sheng-De Wang
Format: Others
Language:en_US
Published: 2014
Online Access:http://ndltd.ncl.edu.tw/handle/13979250239359695096