Feature Extraction using Hybrid Analysis for Android Malware Detection Framework

Abstract

Today, mobile devices have become a widely used for personal and business purposes. Because of the popularity of mobile application, inexpensive ways for people to communicate and share information, they become the highest interesting point of malicious attackers. Malicious software which can destroy smart phones or steal sensitive information are growing in every aspect of people live. Relying on currently developed approaches is not sufficient, given that intelligent malware keeps modifying rapidly and as a result becomes more difficult to detect. This paper focus on the extraction of key features from Android apps using hybrid analysis method to improve Machine Learning based detection framework