Android Malware Detection Technology Based on Improved Bayesian Classification

摘要: Emerging feathers of mobile devices have given new threats to the phone security, which makes malware detection technology becoming more and necessary. Android is one newer operating systems based on Linux kernel in this way it vulnerable attacks. In paper, we proposed a method. It can monitor various features obtained from device then applies machine learning classify applications as benign or malicious. Also make improvements Naive Bayesian Classification method combined with Chi-Square filtering test. Experiments suggest that classification effective detecting malware.