Malwares Detection for Android and Windows System by Using Machine Learning and Data Mining

Now a day people are widely using smart phones with lot of different applications. Smartphones are mostly using android as platform. It offers a huge amount of information to its users. It allows user to download and install applications free from any source either it is verified or not. This is really a threat for android user as lot of open source available application contains malwares and infected software. Not only android users but windows users are also facing these problems. Malware through different sources (usb, cd, drives, emails etc.) are moving from one system to other. In this paper we have discussed some well-defined approaches for android as well as windows-based system security for malware detection. The paper discusses different methods of signature based, behavioral based and heuristic based techniques for malware detection.