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@article{145850,
        author = {R HIMA SAGARIKA},
        title = {Certifying Ranking Fraud for Mobile Apps},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {4},
        number = {11},
        pages = {481-484},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=145850},
        abstract = {Mobile application is a very popular and well-known concept because of the rapid advances in mobile technology. Due to the large number of mobile applications, rank fraud is the biggest challenge facing the mobile market. Fraud Ranking refers to fraudulent or endangered activities that serve to promote applications on the scale of popularity. The importance and necessity of preventing looting is widely accepted. The existing system identifies the main event and session of an application from the historical data collected. Then, three different types of credentials are accumulated from user feedback, i.e., rank-based testing, assessment-based test, and test-based test. These three testimonies are collected using the method of gathering evidence. In the proposed system, we propose two additional improvements. First, we use the approval of assessments by the administrator to identify estimates and accurate estimates. Second, a person's fake feedback is limited to putting the application on the leader. There are two different limitations for receiving responses to an app. The first limitation is that an application can only be evaluated once for a user authentication and the second implemented by using an IP address that limits the number of logged user entries per day. Finally, the proposed system is evaluated with real-time data collected for apps over a longer period of time on the App Store.},
        keywords = {Mobile Apps, Ranking Fraud Detection, Evidence Aggregation, Historical Ranking Records, Rating and Review.},
        month = {},
        }