An Intelligent Methodology for Malware Detection in Android Smartphones Based Static Analysis

Recently, a lot of mobile phone users are rapidly switching to smartphones, and, many users download mobile applications without any thought of security. Therefore, smartphones are interesting target for malware, especially with Android devices. So, it is too important to use a methodology to detect the malware applications before installing it on the phones. In this paper we propose an effective methodology to detect Android malware using static code analysis based models. The proposed models are built to extract features relevant to malware based on extracted permissions from AndroidManifest.xml file as well as extracted methods and APIs from disassembled code to be used as features for training machine learning classifiers. Keywords— Android, Malware Detection, Machine learning, Smartphones, Pattern Recognition.