  Mobile malware has increased rapidly last 10 years. This rapid increase is
due to the rapid enhancement of mobile technology and their power to do most
work for their users. Since mobile devices are personal devices, then a special
action must be taken towards preserving privacy and security of the mobile
data. Malware refers to all types of software applications with malicious
behavior. In this paper, we propose a malware detection technique called
Personal Mobile Malware Guard ? PMMG- that classifies malwares based on the
mobile user feedback. PMMG controls permissions of different applications and
their behavior according to the user needs. These preferences are built
incrementally on a personal basis according to the feedback of the user.
Performance analysis showed that it is theoretically feasible to build PMMG
tool and use it on mobile devices.
