Abstract

The Google Play- the foremost widespread automation app market where rank abuse and malware search has increased rapidly. In this paper, we have a tendency to introduce Fairplay, a unique system that discovers and traces malware left behind by fraudsters. The proposed systems aim is to discover malware and apps subjected to search rank fraud. Fairplay correlates review activities and unambiguously combines detected review relations with linguistic and behavioural signals obtained from Google Play app information. Fairplay achieves gold customary datasets of malware and we go for broad read by applying some technique to each application to gauge its ranking. Our necessity is to create a perfect, fraud less application. Fraudsters create fraud by downloading application through numerous devices and provide fraud ratings and reviews. So, we tend to aforesaid to mine crucial information relating to specific application through reviews that are acquired from comments. Later, these reviews are combined to mine fraud in application ranking. Prajakta Rane | Priya Mishra | Dr. Archana Chaugule"Search Rank Fraud and Malware Detection in Google Play" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-3 , April 2018, URL: http://www.ijtsrd.com/papers/ijtsrd11235.pdf http://www.ijtsrd.com/computer-science/data-miining/11235/search-rank-fraud-and-malware-detection-in-google-play/prajakta-rane

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