alexa Abstract | Ranking Fraud Detection for Mobile Apps using Evidence Aggregation and Humming Bird algorithm
ISSN ONLINE(2320-9801) PRINT (2320-9798)

International Journal of Innovative Research in Computer and Communication Engineering
Open Access

OMICS International organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

Open Access Journals gaining more Readers and Citations

700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ Readers

This Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)

Research Article Open Access


There are a lot a number of apps that are increasing every day over the past few years. The owners also resort to shady and fraudulent activities to increase the ranking of the apps in the popularity list. There is limited understanding in this area though the prevention of fraud has been widely is recognized. In Proposed we are predicting how many users using the particular apps based on their downloading the limitation then we are providing all kind of supportable apps like Android, Windows, IOS, and Symbian. In this paper, we provide a view of ranking fraud for mobile Apps. The users are provided a limitation of using the apps. The user can download the apps by providing the secret key which is provided by the admin. And when the users are trying to misuse the apps by downloading it a number of times, the user information is send to the Admin. We are also predicting how many users are using the particular App. Also, in the existing system even if the user views the app details, the app ranking is being increased. But in this system, only if the user downloading the App will increase the ranking of the particular app. The usage of apps can also be tracked using the leading apps and the graph of the particular app can also be tracked.

To read the full article Peer-reviewed Article PDF image

Author(s): S.Kalaiarasi, Swetha Ganesh, Praveena.C.H, Vaishali.T


Fraud detection, humming bird algorithm, evidence aggregation, ranking fraud, secret key., Advanced Numerical Algorithms, Artificial Intelligence Pattern/Image Recognition, Autonomic and Context Aware Computing

Share This Page

Additional Info

Loading Please wait..
Peer Reviewed Journals
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals
International Conferences 2017-18
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us

© 2008-2017 OMICS International - Open Access Publisher. Best viewed in Mozilla Firefox | Google Chrome | Above IE 7.0 version