摘要
The Android platform is the most popular mobile operating system.With the increase of the number of Android users,a lot of security issues have occurred.In order to detect the malicious behaviors for the installed Android Apps,in this paper,we propose an Android malware detecting scheme by integrating static and dynamic analysis methods.We use Androguard and Droid Box to extract the features,and then remove the irrelevant features.Then we employ the support vector machine（SVM） to classify the Android malware and benignware.From the result of our proposed scheme,the proposed integrated static and dynamic analysis scheme with SVM can effectively detect the Android malware.
The Android platform is the most popular mobile operating system.With the increase of the number of Android users,a lot of security issues have occurred.In order to detect the malicious behaviors for the installed Android Apps,in this paper,we propose an Android malware detecting scheme by integrating static and dynamic analysis methods.We use Androguard and Droid Box to extract the features,and then remove the irrelevant features.Then we employ the support vector machine（SVM） to classify the Android malware and benignware.From the result of our proposed scheme,the proposed integrated static and dynamic analysis scheme with SVM can effectively detect the Android malware.
基金
partially supported by MOST under Grant No.105-2221-E-327-036
