Conclusion
Smartphones are key targets of malware developers since they contain sensitive information about users such as contact lists which contain personal phone numbers, the details of user's bank accounts, the location of the user, the notes of the user, the calendar of the user, and the private chats of the user. According to the reports, Android is currently the most popular mobile operating system in the world. Android applications are distributed through the official application market namely Play Store. Despite that Google utilizes some security tools to detect the malicious applications which are available in Play Store, it is reported that the store still contains some malicious applications. Hence, a more comprehensive approach is necessary to detect more malicious application while not including the false negative samples. Therefore, in this paper, we propose a hybrid Android malware analysis approach namely mad4a. mad4a utilizes both static and dynamic analysis techniques in order to provide more comprehensive analysis and cover more malware detection approaches as many as possible. The widely used datasets which are publicly available are used to evaluate the proposed approach.
