This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
|
||||||||
|
Paper Details
Paper Title
Ranking Fraud Detection for Mobile Apps using Evidence Aggregation Method
Authors
Ms. Prajakta U. Gayke, Prof. Sanjay B. Thakare
Abstract
Nowadays everyone is using smart phone. There is need of various applications to be installed on smart Phone. To download application smart phone user has to visit Apps store such as Google Play Store, Apples store etc. which is the major target of fraud applications. The detection and removal of these apps from android is the major problem in now days. In mobile Apps business ranking fraud alludes to false or tricky operations which have a purpose behind knocking up the Apps in the leader board chart. To be sure, it turns out to be more continuous for App developers to utilize doubtful means, for expanding their mobile Apps' business. The starting aim of this project is to enhance the prevention of ranking frauds in mobile apps. In this work the leading event and group of neighboring events that is leading session of an app is identified from the collected historical records of mobile Apps. Then three different types of evidences are collected from the user feedbacks like comments namely ranking, rating and review based. These three evidences are aggregated by using evidence aggregation method. The output of aggregation is the mobile app which decides the app is false or not. At last, we assess the proposed framework with certifiable App information gathered from the App Storeroom for quite a while interval and also ranking fraud detection method with different services related to Apps such as recommendation of Apps for user that is to preventing false apps to be recommended to user, to learning more powerful fraud evidences and latent relation analysis on reviews.
Keywords- Evidence aggregation method, fraudulent behavior, Mobile Apps, ranking rating and review evidences
Publication Details
Unique Identification Number - IJEDR1603011Page Number(s) - 58-64Pubished in - Volume 4 | Issue 3 | July 2016DOI (Digital Object Identifier) - Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
Ms. Prajakta U. Gayke, Prof. Sanjay B. Thakare, "Ranking Fraud Detection for Mobile Apps using Evidence Aggregation Method ", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.4, Issue 3, pp.58-64, July 2016, Available at :http://www.ijedr.org/papers/IJEDR1603011.pdf
Article Preview
|
|
||||||
|
|
||||||||
