Detection of Fraud App

March 2017
Vol-3, Issue-2
Paper ID: 4260
ISSN: 2395-4396
Downloads: 0

Abstract & Details

Research Area
Information Technology
Keywords
Mobile Apps Evidence Aggregation Historical Rankin-Review-Rating Records Rating Evidence Ranking evidence Review evidence.
Abstract
With the mobile application development the number of mobile apps grown at very high rate. There are many app markets are providing apps with Leader Boards. High ranking on such leader boards accelerate the app downloading. Many app developers are using some fraudulent ways to increase app ranking. To identify such frauds, there is need of fraud detection system. The proposed “Detection of Fraud Apps” system extracts the three types of evidences- ranking based evidences, rating based evidences, review based evidences and these evidences are aggregated to produce results. This system will evaluate the fraud detection effectively.

Author Information

# Name Institute / Affiliation
1 Sonali Patel MET, BKC ,IOE
2 Rushikesh Belekar MET, BKC ,IOE
3 Heramb Matwad MET, BKC ,IOE
4 Anuja Shelar MET, BKC ,IOE
5 Dr. K. V. Metre MET, BKC ,IOE

How to Cite

Use the following formats to cite this article in your research.

APA Style
Patel, Sonali, Belekar, Rushikesh, Matwad, Heramb, Shelar, Anuja, & Metre, Dr. K. V. (2017). Detection of Fraud App. International Journal of Advance Research and Innovative Ideas In Education, 3(2), 1943-1947.
MLA Style
Patel, Sonali, et al. "Detection of Fraud App." International Journal of Advance Research and Innovative Ideas In Education, vol. 3, no. 2, 2017, pp. 1943-1947.
IEEE Style
Sonali Patel, Rushikesh Belekar, Heramb Matwad, Anuja Shelar, and Dr. K. V. Metre, "Detection of Fraud App," International Journal of Advance Research and Innovative Ideas In Education, vol. 3, no. 2, pp. 1943-1947, 2017.
Vancouver Style
Patel Sonali, Belekar Rushikesh, Matwad Heramb, Shelar Anuja, Metre Dr. K. V.. Detection of Fraud App. International Journal of Advance Research and Innovative Ideas In Education. 2017;3(2):1943-1947.
Harvard Style
Patel, Sonali, Belekar, Rushikesh, Matwad, Heramb, Shelar, Anuja, & Metre, Dr. K. V. (2017) 'Detection of Fraud App', International Journal of Advance Research and Innovative Ideas In Education, 3(2), pp. 1943-1947.
Chicago Style
Patel, Sonali, et al. "Detection of Fraud App." International Journal of Advance Research and Innovative Ideas In Education 3, no. 2 (2017): 1943-1947.
Turabian Style
Patel, Sonali, et al. "Detection of Fraud App." International Journal of Advance Research and Innovative Ideas In Education 3, no. 2 (2017): 1943-1947.

Export Citation

Related Research

DIGITAL DIVIDE AND EQUITY IN ACCESS TO INTERNET: ITS IMPACT TO LEARNERS’ ACADEMIC ACHIEVEMENT
Ladylee Paje Custodio et al. 2026 Educational technology
PDF Unavailable
A PHENOMENOLOGICAL STUDY ON THE CHALLENGES, AND COPING STRATEGIES OF SCHOOL HEADS IN USING TECHNOLOGY
MARK IAN K. DOMOSMOG 2026 Educational Leadership and Management with a focus on Educational Technology Integration
PDF Unavailable
A Comprehensive Review of Blockchain in Automotive Data Tracking
Mr Nagesh U B et al. 2026 Information Science
PDF Unavailable
A Review Paper on Deep Learning-Based Image Steganography Techniques
Dr. Rachana P et al. 2026 Information Science and Engineering
PDF Unavailable
Decentralized Voting System Using Ethereum Blockchain
Dr. D. SIVAKUMAR et al. 2026 Information Science and Engineering
PDF Unavailable
Comprehensive Framework for Real-Time Hand Gesture Recognition on Mobile Platforms using Machine Learning,TensorFlow Lite, Keras, MediaPipe, OpenCV and NumPy
Roshani Rajesh khobragade et al. 2026 Information Technology / Computer Engineering / Machine Learning
PDF Unavailable