System focus on the security issues related to camera based attacks on smart phones. The fraudulent application and its traitor can be detected by using the defense system that detects the attacks. To evaluate the defense system we have proposed a camera based fraudulent application for feasibility study and also we analyzed the performance of the system with the fraudulent applications from the open android market. To download application smart phone user has to visit play store. When user visit play store then he is able to see the various application lists. This list is built on the basis of promotion or advertisement. User does not have knowledge about the application. So user looks at the list and downloads the applications. But sometimes it happens that the downloaded application won't work or not useful. That means it is fraud in mobile application list. We are going to find the applications those are fraud, from Google play store. We are providing sentiment analysis on the reviews, for finding true positive and false negative of the reviews and also working on NLP algorithm from which we are finding positive comments, negative comments and neutral comments.
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