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.
