Abstrato

Detection and Prevention for Malicious Attacks for Anonymous Apps

Saranya .T, Shalini .A.P., Kanchana .A

In the present situation people wanted their work to be completed easily in this smart phones plays a vital role in their work. The forthcoming open operating system will focus not on desktops system, it will be on devices that we use every day (E.g. Mobile). The objective is to design and develop an effective Algorithm to detect malicious applications which posing threat to hand held devices (in Android platform). This mainly focus on the Vulnerability of Android application and its permissions, since critical data is manipulated using hand held devices for Banking etc., Since Android is an open source platform lot of third party applications are developed and uploaded on Android market and Third party application stores. Users download it via their devices or download bulks of apps from the torrent. The main problem is that users are unaware of the third party applications which works as a simple application but contains malicious application in it. The proposed algorithm realizes a malware detection system that continuously monitors various features and events obtained from the device, if the application is declared malware by the algorithm then it is prevented. The proposed approach which detects malware based on the samples of known malware. The new environment will lead to new applications in their markets to enable greater integration. The proposed work not only checks permissions but it also involves feature selection method to find the best performance in detecting new malware. The results suggest that proposed work is effective in detecting malware on Android devices.