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International Journal of Scientific Development and Research - IJSDR
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Paper Title: A novel and efficient aggregation method for ranking Fraud detection in mobile apps
Unique Id: IJSDR1809009
Published In: Volume 3 Issue 9, September-2018
Abstract: Present mobile technology is more popular due to mobile apps usage very high in the market world. Large numbers of mobile apps are uploaded daily in Google play store from different companies. So Mobile users are downloading apps based on review and rating of the app. so some companies to improve sales and increase usage of users of their apps they are giving fake ranking to their app to attract the users for downloading. Present we have big key challenge is ranking fraud in market world. In this paper we implement novel mechanism to fake ranking detection system for mobile users. And we differentiate three types of data collected from data records. Those are based on ranking, rating g and review by the users to that particular app .By using aggregation method we can aggregated this proofs of data. In this research paper we proposing two types of implementations like first one is exact scores and ratings of the app and, the fake rating and feedbacks by a similar user for approaching up that app on the leader board are controlled.To avoid frauding we approach two ways one is single users should give rating only once based on user login and another one is based on ip address that restricted the no of logins per day, our proposed system can analysed with real world app data from app store in long time.
Keywords: Mobile Apps, ranking fraud detection, aggregation method, data ranking records, rating and review.
Cite Article: "A novel and efficient aggregation method for ranking Fraud detection in mobile apps", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.3, Issue 9, page no.61 - 63, September-2018, Available :http://www.ijsdr.org/papers/IJSDR1809009.pdf
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Publication Details: Published Paper ID: IJSDR1809009
Registration ID:180625
Published In: Volume 3 Issue 9, September-2018
DOI (Digital Object Identifier):
Page No: 61 - 63
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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