Android Malware application detection and intercepts based on SVM

• Main Authors: Zhi-Feng Feng, 馮志峰
• Other Authors: Shih-wei Liao
• Format: Others
• Language: zh-TW
• Published: 2017
• Online Access: http://ndltd.ncl.edu.tw/handle/9hef6w

碩士 === 國立臺灣大學 === 資訊工程學研究所 === 105 === Android as the most popular operating system, has been the world''s tens of thousands of users to use, but it is based on Andoird natural open source features, so many developers in the process of developing app, you can use the system or mobile phone Its own license application and the current market is not perfect application store review mechanism, the development of malicious software to harm the user''s mobile phone personal data and privacy. In this paper, we provide a mechanism to detect malware, by extracting the Android APK permission application as a feature point, through the use of a large number of data training svm model to judge the software to complete the purpose of testing , After the completion of the detection purposes, we will use our development of the Android Dynamic Framework to hook off the potential malware in the MainActivity in the onCreate method to complete the role of blocking app.