Android Malware Detection Using Machine Learning

Abstract

Malware is one of the major issues regarding the operating system or in the software world. The android system is also going through the same problems. We have seen other Signature-based malware detection techniques were used to detect malware. But the techniques were not able to detect unknown malware. Despite numerous detection and analysis techniques are there, the detection accuracy of new malware is still a crucial issue. In this paper, we study and highlight the existing detection and analysis methods used for the android malicious code. Along with studying, we propose Machine learning algorithms that will be used to analyze such malware and also we will be doing semantic analysis. We will be having a data set of permissions for malicious applications. Which will be compared with the permissions extracted from the application which we want to analyze. In the end, the user will be able to see how much malicious permission is there in the application and also we analyze the application through comments.