Comprehensive Behaviour of Malware Detection Using the Machine Learning Classifier

Everyone is using mobile phone and android markets like Google play and the model they offer to certain apps make the Google play market for their false and malware. Some developers use different techniques to increase their rank, increasing popularity through fake reviews, installation accounts and introduce malware to mobile phones. Application developers use various advertising campaigns showing their popularity as the highest ranking application. They manipulate ranking on the chart. In the past they worked on application permission and authorization. In this we propose a fair play - a novel framework that uses traces left to find rank misrepresentation and applications subjected to malware. Fair play uses semantic and behavioural signs gathered from Google play information.