Detection of android malware using machine learning techniques

Abstract

With the increase in popularity of the internet and android operating system, the number of active internet user and their daily activity on android devices is also increasing. So, that’s the reason malware writers are targeting android devices more and more. The quickly creating malware is a major issue, and there is a requirement for discovery of android malware to secure the framework. Signature-based technologies work efficiently for known malware but fail to detect unknown malware or new malware. Academia is continuously working on machine learning and deep learning techniques to detect advanced malware in today’s scenario. For machine learning, feature vector and sufficient dataset are very important. In this paper, we will develop and implement an approach for the detection of unknown malware with a high detection rate.