关键词: Android, 机器学习, 特征选择, 贝叶斯网络

Abstract: Android is the most popular operating system by far, which has the highest market share. Malicious software based on Android platform also presents explosive growth, but currently there are no effective means, which can detect the Android malicious behavior. In this paper, through analyzing the characteristics of the Android malicious behavior, it uses the machine learning algorithm based on Bayesian networks to detect the Android malicious behavior. Beyond that, this paper extracts the static characteristics of the Android file based on the static analysis method, which has realized the combination of static analysis and the Bayesian network. In the end, through the experiment, it verifies the effectiveness of the Android malicious behavior detection model.

Key words: Android, machine learning, feature selection, Bayesian network