Mobile Apps Fake Detection based on Ranking using Evidence Aggregation

  IJCTT-book-cover
 
International Journal of Computer Trends and Technology (IJCTT)          
 
© 2016 by IJCTT Journal
Volume-40 Number-2
Year of Publication : 2016
Authors : K.Divya, S.Phani Praveen
  10.14445/22312803/IJCTT-V40P118

MLA

K.Divya, S.Phani Praveen "Mobile Apps Fake Detection based on Ranking using Evidence Aggregation". International Journal of Computer Trends and Technology (IJCTT) V40(2):95-98, October 2016. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.

Abstract -
The major target of Malicious applications are the electronic devices such as mobiles have become popular day by day.Such malicious apps detection and removal from android is major task in now a days.The mobile app business in Ranking fraud refers to fraudulent activities which have a motive behind knocking up apps in the leader board or fame list.Actually,it turns out to be more frequent for app designers to use shady means such as raising their apps’ business by posting counterfeit app ratings to perform Ranking fraud. The major aim of this paper is to magnify the prevention of ranking frauds in mobile apps.in existing system the historical records are collected and from that the leading app and leading session is identified.From the user feedbacks three types of evidences are collected namely ranking based evidence, rating based evidence and review based evidence.Then three evidences are aggregated by using the Evidence Aggregation method.The app is fraud or not is detected by the result of aggregation.Finally,we access the proposed structure by gathering information from the Apple’s App Store for a while duration.In the demonstration, we justify the efficacy of proposed system,and exhibit the scalability of detection algorithm and global comparision is analyze among user and local ranking.

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Keywords
Ranking Fraud Detection, Mobile Apps.