Call for Papers:Vol.11 Issue.3

Submission
Last date		 28-Jun-2025
Acceptance Status In One Day
Paper Publish In Two Days
Submit ManuScript

News & Updates

Submit Article

Dear Authors, Article publish in our journal for Volume-11,Issue-3. For article submission on below link: Submit Manuscript


Join As Board

Dear Reviewer, You can join our Reviewer team without given any charges in our journal. Submit Details on below link: Join As Board


Paper Publication Charges

IJARIIE APP
Download Android App

For Authors

Archives

IJARIIE Board

Downloads

Android App

Download IJARIIE APP

Authors

Title: :  Ranking Fraud Detection and prevention On Relationship Among Rating Review & Ranking
PaperId: :  3592
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 2 Issue 6 2016
DUI:    16.0415/IJARIIE-3592
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Neha S.HeteAgnihotri College of Engineering,Nagthana Road,Wardha

Abstract

Computer Science and Engineering
Mobile Apps, Ranking Fraud Detection, Evidence Aggregation, Historical Ranking Records, Rating and Review , Recommendate apps
Ranking fraud in the mobile App market refers to fraudulent or deceptive activities which have a purpose of bumping up the Apps in the popularity list. Indeed, it becomes more and more frequent for App developers to use shady means, such as inflating their Apps’ sales or posting phony App ratings, to commit ranking fraud. While the importance of preventing ranking fraud has been widely recognized, there is limited understanding and research in this area. To this end, in this paper, we provide a holistic view of ranking fraud and propose a ranking fraud detection system for mobile Apps. Specifically, we first propose to accurately locate the ranking fraud by mining the active periods, namely leading sessions, of mobile Apps. Such leading sessions can be leveraged for detecting the local anomaly instead of global anomaly of App rankings. Furthermore, we investigate three types of evidences, i.e., ranking based evidences, rating based evidences and review based evidences, by modeling Apps’ ranking, rating and review behaviors through statistical hypotheses tests. In addition, we propose an optimization based aggregation method to integrate all the evidences for fraud detection.The mobile app recommendation for Finally, we evaluate the proposed system with real-world App data collected from the iOS App Store for a long time period. In the experiments, we validate the effectiveness of the proposed system, and show the scalability of the detection algorithm as well as some regularity of ranking fraud activities.

Citations

Copy and paste a formatted citation or use one of the links to import into a bibliography manager and reference.

IJARIIE Neha S.Hete. "Ranking Fraud Detection and prevention On Relationship Among Rating Review & Ranking" International Journal Of Advance Research And Innovative Ideas In Education Volume 2 Issue 6 2016 Page 1806-1816
MLA Neha S.Hete. "Ranking Fraud Detection and prevention On Relationship Among Rating Review & Ranking." International Journal Of Advance Research And Innovative Ideas In Education 2.6(2016) : 1806-1816.
APA Neha S.Hete. (2016). Ranking Fraud Detection and prevention On Relationship Among Rating Review & Ranking. International Journal Of Advance Research And Innovative Ideas In Education, 2(6), 1806-1816.
Chicago Neha S.Hete. "Ranking Fraud Detection and prevention On Relationship Among Rating Review & Ranking." International Journal Of Advance Research And Innovative Ideas In Education 2, no. 6 (2016) : 1806-1816.
Oxford Neha S.Hete. 'Ranking Fraud Detection and prevention On Relationship Among Rating Review & Ranking', International Journal Of Advance Research And Innovative Ideas In Education, vol. 2, no. 6, 2016, p. 1806-1816. Available from IJARIIE, http://ijariie.com/AdminUploadPdf/Ranking_Fraud_Detection_and_prevention_On_Relationship_Among_Rating_Review___Ranking_ijariie3592.pdf (Accessed : ).
Harvard Neha S.Hete. (2016) 'Ranking Fraud Detection and prevention On Relationship Among Rating Review & Ranking', International Journal Of Advance Research And Innovative Ideas In Education, 2(6), pp. 1806-1816IJARIIE [Online]. Available at: http://ijariie.com/AdminUploadPdf/Ranking_Fraud_Detection_and_prevention_On_Relationship_Among_Rating_Review___Ranking_ijariie3592.pdf (Accessed : )
IEEE Neha S.Hete, "Ranking Fraud Detection and prevention On Relationship Among Rating Review & Ranking," International Journal Of Advance Research And Innovative Ideas In Education, vol. 2, no. 6, pp. 1806-1816, Nov-Dec 2016. [Online]. Available: http://ijariie.com/AdminUploadPdf/Ranking_Fraud_Detection_and_prevention_On_Relationship_Among_Rating_Review___Ranking_ijariie3592.pdf [Accessed : ].
Turabian Neha S.Hete. "Ranking Fraud Detection and prevention On Relationship Among Rating Review & Ranking." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 2 number 6 ().
Vancouver Neha S.Hete. Ranking Fraud Detection and prevention On Relationship Among Rating Review & Ranking. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2016 [Cited : ]; 2(6) : 1806-1816. Available from: http://ijariie.com/AdminUploadPdf/Ranking_Fraud_Detection_and_prevention_On_Relationship_Among_Rating_Review___Ranking_ijariie3592.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads



Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
Driver Drowsiness Detection System By Measuring EAR and MARComputer Engineering Zoya Fatema Khan Download
Cloud-Based File Storage and Sharing Web ApplicationComputer Science & EngineeringMohammed Aadil Download
STUDYNEST: ONLINE LEARNING PLATFORM WITH AI RECOMMENDATION SYSTEMComputer Science and Engineering Urvashi Suresh Waghmare Download
Leveraging AWS for Developing and Hosting a Dynamic Food Ordering Web ApplicationComputer EngineeringAfshin Khanam Download
Edge-to-Cloud Synergy: An Autoencoder-GAN Framework for Anomaly Detection in Healthcare Records, Financial Statements, and Secure Cloud StorageInformation TechnologyKarthik Kushala Download
E-Commerce Fraud Detection Based on Machine Learning TechniquesComputer Science EngneeringVikram Ankush Ade Download
Detection of Phishing Website Using Gradient Boosting AlgorithmComputer Science and EngineeringYAWALKAR PRASAD PRAMOD Download
Property Dealing WebComputer Science EngineeringYash Chaudhari Download
Reinforcement Learning for the Evolution of Antimicrobial Nano formulationsmachine learningMadhusudan Download
SecuraVault: A secured blockchain based cloud storage systemComputer Engineering Anshika Jaiswal Download
Autoimmune Disease Detection in women Using Machine Learning Approachcomputer science EngineeringJ. L. V. S. Download
Medicine Overdose Detection System Using Machine LearningComputer Science EngineeringDr.Somashekhar B M Download
Home Price Prediction Using Machine LearningComputer Science & Engineering G Tushar Download
Heat diseases prediction using machine learningComputer EngineeringProf. Meghashree M B Download
GRIDSHIELD AIComputer EngineeringDr. Archana B Download
12