Data Search Rank Extortion and Malware Identification in Google Play
R. Shireesha1, P.Varaprasadarao2

1Ms. R. Shireesha*, Post Graduation, Department of Computer Science and Engineering, Technology(GRIET), Hyderabad, (Telangana), India
2Dr P Varaprasada Rao, Professor in CSE, Gokaraju Rangaraju Institute of Engineering and Technology (GRIET), Hyderabad, (Telangana), India
Manuscript received on September 15, 2019. | Revised Manuscript received on October 05, 2019. | Manuscript published on October 30, 2019. | PP: 3229-3231 | Volume-9 Issue-1, October 2019 | Retrieval Number: F9292088619/2019©BEIESP | DOI: 10.35940/ijeat.F9292.109119
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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.
Keywords: Android Applications, Fair play, Fraud rating.