Three-phase Detection and Classification for Android Malware Based on Common Behaviors
碩士 === 國立交通大學 === 資訊科學與工程研究所 === 101 === Android is one of the most popular operating systems adopted in mobile devices. The popularity also turns it an attractive target for attackers. To detect and classify malicious Android applications, we propose an efficient and accurate behavior-based solutio...
Main Authors: | Chang, Yu-Ni, 張育妮 |
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Other Authors: | Lin, Ying-Dar |
Format: | Others |
Language: | en_US |
Published: |
2013
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Online Access: | http://ndltd.ncl.edu.tw/handle/74059509958542780235 |
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