Discovery of Historical Record to Detect Fraud App
Abstract: The confrontational growth of the mobile application market has made it a remarkable challenge for the users to find interesting applications in crowded App Stores. When users visit play store then they are able to see the various applications list. This list is built on the basis of promotion or advertisement. User doesnt have knowledge about the application (i. e. which applications are useful or useless). So user looks at the list and downloads the applications mostly from front page of App Store. But sometimes it happens that the downloaded application wont work or not useful. Furthermore, sent word dictionary is used to identify the exact reviews scores. The fake feedbacks by a same person for pushing up that app on the leaderboard are restricted. Two different constraints are considered for accepting the feedback given to an application. The first constraint is that an app can be rated only once from a user login. And the second is implemented with the aid of MAC address
Keywords: Mobile Apps, Ranking Fraud Detection, Evidence Aggregation, Historical Ranking Records, Rating and Review, Recommendation app
How to Cite?: Pritam Porate, M. S. Nimbarte, "Discovery of Historical Record to Detect Fraud App", Volume 6 Issue 6, June 2017, International Journal of Science and Research (IJSR), Pages: 2069-2072, https://www.ijsr.net/getabstract.php?paperid=ART20174824, DOI: https://dx.doi.org/10.21275/ART20174824