Survey: Fraud Detection and Discovery of Mobile Apps
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
www.ijsr.net | Open Access | Fully Refereed | Peer Reviewed International Journal

ISSN: 2319-7064

Survey Paper | Computer Science & Engineering | India | Volume 6 Issue 3, March 2017

Survey: Fraud Detection and Discovery of Mobile Apps

Urmila Aware, D. O. Shamkuwar

Now a days everyone is using smart phones. There is need of various applications to be installed on smart phone. To download application smart phone user has to visit play store such as Google Play Store. Mobile App is a very popular and well known concept due to the rapid advertisement in the mobile technology and mobile devices. When user go to the play store then he is see the various application lists. This list is built on the basis of advertisement. Usually user doesnt have enough information about the application (i.e. which applications are useful or not). Then user see that list and downloads the applications. But sometimes that the downloaded application not useful. That means it is fraud in mobile application list. To avoid this fraud, we provide a holistic view of ranking fraud and propose a ranking fraud detection system for mobile Apps. We first propose to accurately locate the ranking fraud by mining the active periods, namely leading sessions, of mobile Apps. Then we investigate five types of evidences, i.e., ranking based evidences, rating based evidences, review based evidences, recommendation based fraud detection, enhancing the algorithm of fraud detection, by modeling Apps ranking, rating and review behaviors through statistical hypotheses tests. Using these five evidences finally we are calculating aggregation. We evaluate our application with real world data collected form play store for long time period

Keywords: Mobile Apps, Ranking Fraud Detection, Evidence Aggregation, Historical Ranking Records, Rating and Review, Recommendation app, Ad History etc

Edition: Volume 6 Issue 3, March 2017

Pages: 1672 - 1675

Share this Article

How to Cite this Article?

Urmila Aware, D. O. Shamkuwar, "Survey: Fraud Detection and Discovery of Mobile Apps", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=ART2017913, Volume 6 Issue 3, March 2017, 1672 - 1675

114 PDF Views | 100 PDF Downloads

Download Article PDF



Similar Articles with Keyword 'Mobile Apps'

Research Paper, Computer Science & Engineering, India, Volume 3 Issue 6, June 2014

Pages: 2067 - 2068

An Analysis of Mobile Applications Security; Issue and Aspects from the Users Perspective

Ashish A Kulkarni, Dr. Shivaji R. Madan

Share this Article

Review Papers, Computer Science & Engineering, India, Volume 6 Issue 6, June 2017

Pages: 2069 - 2072

Discovery of Historical Record to Detect Fraud App

Pritam Porate, M. S. Nimbarte

Share this Article

Survey Paper, Computer Science & Engineering, India, Volume 6 Issue 3, March 2017

Pages: 1672 - 1675

Survey: Fraud Detection and Discovery of Mobile Apps

Urmila Aware, D. O. Shamkuwar

Share this Article

Review Papers, Computer Science & Engineering, India, Volume 6 Issue 1, January 2017

Pages: 406 - 409

A Review on Ranking Based Fraud Detection in Android Market

D. Janet, Vikrant Chole

Share this Article

Survey Paper, Computer Science & Engineering, India, Volume 5 Issue 2, February 2016

Pages: 27 - 30

Survey on Fraud Ranking in Mobile Apps

Monali Zende, Aruna Gupta

Share this Article

Similar Articles with Keyword 'Ranking Fraud Detection'

Review Papers, Computer Science & Engineering, India, Volume 6 Issue 6, June 2017

Pages: 2069 - 2072

Discovery of Historical Record to Detect Fraud App

Pritam Porate, M. S. Nimbarte

Share this Article

Survey Paper, Computer Science & Engineering, India, Volume 6 Issue 3, March 2017

Pages: 1672 - 1675

Survey: Fraud Detection and Discovery of Mobile Apps

Urmila Aware, D. O. Shamkuwar

Share this Article

Review Papers, Computer Science & Engineering, India, Volume 6 Issue 1, January 2017

Pages: 406 - 409

A Review on Ranking Based Fraud Detection in Android Market

D. Janet, Vikrant Chole

Share this Article

Survey Paper, Computer Science & Engineering, India, Volume 5 Issue 2, February 2016

Pages: 27 - 30

Survey on Fraud Ranking in Mobile Apps

Monali Zende, Aruna Gupta

Share this Article

Similar Articles with Keyword 'Evidence Aggregation'

Review Papers, Computer Science & Engineering, India, Volume 6 Issue 6, June 2017

Pages: 2069 - 2072

Discovery of Historical Record to Detect Fraud App

Pritam Porate, M. S. Nimbarte

Share this Article

Survey Paper, Computer Science & Engineering, India, Volume 6 Issue 3, March 2017

Pages: 1672 - 1675

Survey: Fraud Detection and Discovery of Mobile Apps

Urmila Aware, D. O. Shamkuwar

Share this Article

Review Papers, Computer Science & Engineering, India, Volume 6 Issue 1, January 2017

Pages: 406 - 409

A Review on Ranking Based Fraud Detection in Android Market

D. Janet, Vikrant Chole

Share this Article

Survey Paper, Computer Science & Engineering, India, Volume 5 Issue 2, February 2016

Pages: 27 - 30

Survey on Fraud Ranking in Mobile Apps

Monali Zende, Aruna Gupta

Share this Article

Similar Articles with Keyword 'Historical Ranking Records'

Review Papers, Computer Science & Engineering, India, Volume 6 Issue 6, June 2017

Pages: 2069 - 2072

Discovery of Historical Record to Detect Fraud App

Pritam Porate, M. S. Nimbarte

Share this Article

Survey Paper, Computer Science & Engineering, India, Volume 6 Issue 3, March 2017

Pages: 1672 - 1675

Survey: Fraud Detection and Discovery of Mobile Apps

Urmila Aware, D. O. Shamkuwar

Share this Article

Review Papers, Computer Science & Engineering, India, Volume 6 Issue 1, January 2017

Pages: 406 - 409

A Review on Ranking Based Fraud Detection in Android Market

D. Janet, Vikrant Chole

Share this Article

Survey Paper, Computer Science & Engineering, India, Volume 5 Issue 2, February 2016

Pages: 27 - 30

Survey on Fraud Ranking in Mobile Apps

Monali Zende, Aruna Gupta

Share this Article

Similar Articles with Keyword 'Recommendation app'

Survey Paper, Computer Science & Engineering, India, Volume 4 Issue 1, January 2015

Pages: 823 - 826

Survey Paper on Users Location Hiding In Geosocial Recommendation Applications

Mayura Phadnis, Kanchan Varpe

Share this Article

Research Paper, Computer Science & Engineering, India, Volume 3 Issue 10, October 2014

Pages: 939 - 942

A Novel Approach to Enhance Personalized Recommendation

G. Venkatesh, M. Sri Devi

Share this Article

Review Papers, Computer Science & Engineering, India, Volume 6 Issue 6, June 2017

Pages: 2069 - 2072

Discovery of Historical Record to Detect Fraud App

Pritam Porate, M. S. Nimbarte

Share this Article

Review Papers, Computer Science & Engineering, India, Volume 5 Issue 2, February 2016

Pages: 61 - 64

Clients Location Hiding in Geosocial Recommendation Applications

Khadke Shriram Bhanudasrao, Mahadik Pravin B.

Share this Article

Research Paper, Computer Science & Engineering, India, Volume 4 Issue 3, March 2015

Pages: 2021 - 2025

User Based Personalized Search with Big Data

M. C. Sabitha

Share this Article
Top