Behavior Analysis of Android malware detection for Smart phone

Abstract Smartphones are becoming more popular these days. Android operating system is dominating the smartphone market with 85% market share. The growth in Android based smartphones is encouraging malware authors to move various mobile app stores with malicious applications. This is done for unauthorized access of useful/private information stored in a smartphone by utilizing vulnerabilities in applications. This paper is intended to yield exhaustive literature survey and analysis of malware detection techniques on Android. To have effective detection techniques we have focused on the specific family i.e. AnserverBot family of Android malware, which is one of the largest Android malware family. We designed a tool based on specific features of AnserverBot family. These perticular features are collected via static and manual analysis of AnserverBot family. Our tool is capable of capturing all the malwares of AnserverBot family from a large collection of the applications. This detection scheme effectively detects the AnserverBot malware with high accuracy.

Keywords- Android smartphones, Malware detection, smartphones operating systems, AnserverBot, smartphones applications.

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Engineering Journal: Behavior Analysis of Android malware detection for Smart phone

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