Android Malware Detection Combined with Static and Dynamic Analysis

Abstract

Android System has attracted not only constantly increasing number of smart device users, but also the serious attacks from explosive malicious apps. Consequently, the need to effectively detect Android malware is becoming more and more urgent. In the paper, combing the advantages of static analysis and dynamic analysis, we propose an Android malware detection method based on machine classification. Our experimental results show that the accuracy of the approach meets the requirements of Android malware detection. Subsequently, we apply this approach to perform an interesting detection on the popular apps of different user crowds, and provide some corresponding security advices.