In the past few years, smart phones developments than just a simple mobile phones to sophisticated computers. This development has allowed for users of smart phones to surf the Internet, receive and send e-mail, SMS and MMS messages and connect to devices to exchange information. And make all these features of the smartphone useful tool in our daily lives, but the same time, make it more useful to attract malicious applications. Knowing that most users store sensitive information on their mobile phones .smart phones are considered desirable scorer attackers and malware developers .And make the need to preserve the security and confidentiality of the data on the Android platform from malware analysis on it is an urgent issue. This research on previous methods to analyze the dynamic behavior of the applications have been approved and adopted a method to detect malware on the Android platform. It was implication the reagent in the context of assembling the effects of the number of users relied on crowdsourcing. We have been testing our frame analysis of the collected data at the central server using two types of data sets: data from the artificial malware have been created for testing purposes and malware incident of life in the world. It turns out that the method used is an effective way to isolate malware and alert users to software that was downloaded.