Data search rank extortion and malware identification in google play

0Citations
Citations of this article
2Readers
Mendeley users who have this article in their library.
Get full text

Abstract

The Google Play-the chief boundless computerization utility advertises in which rank maltreatment and malware appearance has multiplied quick. In this paper, we tend to present Fair play, an first rate device that unearths and pursues malware deserted by means of fraudsters. The proposed framework's point is to find malware and programs exposed to seek rank misrepresentation. Fair play associates audit physical games and unambiguously consolidates diagnosed audit relations with etymological and behavior signals acquired from Google Play utility statistics. Fair play accomplishes nice excellent level datasets of cross for expansive peruse through making use of a few technique to every software to test its positioning. Our want is to make a immaculate, misrepresentation less utility.Fraudsters make extortion by downloading application through various gadgets and give extortion evaluations and audits. Along these lines, we keep an eye on previously mentioned to mine critical data relating to explicit application through audits that are obtained from remarks. Afterward, these audits are joined to mine extortion in application positioning.

Cite

CITATION STYLE

APA

Shireesha, R., & Varaprasada Rao, P. (2019). Data search rank extortion and malware identification in google play. International Journal of Engineering and Advanced Technology, 9(1), 3229–3231. https://doi.org/10.35940/ijeat.F9292.109119

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free