Abstract
Android mobile devices have become very popular in our lives and are used for handling a lot of our personal and confidential information. Hence they have become an ideal target for attackers. Malware authors have found out one way or the other to work around the security protocols to penetrate the system and exploit users. Android-based smartphone users can download a lot of free applications from Android Application Market/Play Store. These downloaded apps may contain malware applications that can steal private information from users. This paper describes the dynamic detection approach that is used to identify malwares by analyzing a case study on AdultSwine infected apps to understand the practical challenges in identifying malware using a dynamic approach.
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