A Comprehensive Review of Android Malware Detection Techniques

School of Computer Science and Engineering, Lovely Professional University, Phagwara Punjab 144411, India

^* Corresponding Author: divyu4012@gmail.com

Abstract

The Android malware is at peak with overwhelming ubiquity of the Android Operating Systems. Malware creators have been using and devising different novel strategies to build Android apps that are malicious that are capable of creating severe damages to the device and thus extremely weakens the capability of conventional malware locators that are inept in identifying these obscure noxious applications. The highlights gotten from inactive and energetic examination of Android apps could be utilized for identifying obscure malware by utilizing ML procedures. This paper provides the analysis of different malware displays in showcase and their effect along with their location frameworks, inactive and energetic apparatuses utilized for the reason. We were able to discover investigate work in all the Android malware discovery strategies which utilize machine learning which too highlights the reality that machine learning calculations are utilized habitually in this range for recognizing Android malware in the wild.