Fraud Application Detection
Abstract & Details
Research Area
Computer Engineering
Keywords
Mobile Apps
ranking fraud detection
evidence aggregation
rating and review.
Abstract
In today’s era, due to rapid development in the mobile technology and mobile devices, the applications i.e. mobile apps are being very interesting and popular concept. As there is large number of mobile Apps, ranking fraud is the challenging factor in front of the mobile App market. Ranking fraud is the term used for referring to fraudulent or suspicious activities having the intention of boosting up the Apps in the popularity list. In fact, App developers are using tricky means frequently for increasing their Apps sales. The main aim is to develop such system that find ranking, rating and review behaviors for investigating review based evidences, rating based evidences and ranking based evidences and then aggregation based on optimization to combine all the evidences for detection of fraud.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Madhuri Sancheti | Sanjivani College of Engineering,Kopargaon |
| 2 | Tejaswini Shingare | Sanjivani College of Engineering,Kopargaon |
| 3 | Swaleha Shaikh | Sanjivani College of Engineering,Kopargaon |
| 4 | Jyoti Ugale | Sanjivani College of Engineering,Kopargaon |
| 5 | Prof.J.N.Kale | Sanjivani College of Engineering,Kopargaon |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Sancheti, Madhuri, Shingare, Tejaswini, Shaikh, Swaleha, Ugale, Jyoti, & Prof.J.N.Kale (2017). Fraud Application Detection. International Journal of Advance Research and Innovative Ideas In Education, 3(2), 3446-3450.
MLA Style
Sancheti, Madhuri, et al. "Fraud Application Detection." International Journal of Advance Research and Innovative Ideas In Education, vol. 3, no. 2, 2017, pp. 3446-3450.
IEEE Style
Madhuri Sancheti, Tejaswini Shingare, Swaleha Shaikh, Jyoti Ugale, and Prof.J.N.Kale, "Fraud Application Detection," International Journal of Advance Research and Innovative Ideas In Education, vol. 3, no. 2, pp. 3446-3450, 2017.
Vancouver Style
Sancheti Madhuri, Shingare Tejaswini, Shaikh Swaleha, Ugale Jyoti, Prof.J.N.Kale. Fraud Application Detection. International Journal of Advance Research and Innovative Ideas In Education. 2017;3(2):3446-3450.
Harvard Style
Sancheti, Madhuri, Shingare, Tejaswini, Shaikh, Swaleha, Ugale, Jyoti, & Prof.J.N.Kale (2017) 'Fraud Application Detection', International Journal of Advance Research and Innovative Ideas In Education, 3(2), pp. 3446-3450.
Chicago Style
Sancheti, Madhuri, et al. "Fraud Application Detection." International Journal of Advance Research and Innovative Ideas In Education 3, no. 2 (2017): 3446-3450.
Turabian Style
Sancheti, Madhuri, et al. "Fraud Application Detection." International Journal of Advance Research and Innovative Ideas In Education 3, no. 2 (2017): 3446-3450.
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