Rank Fraud and Malware Detection in Google Play Using Fairplay
G. Yugeshwaran, Sathish Kumar T M, D. Angeline Benitta, Sherin Eliyas, Sanju Rajan · 2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE) · 2022
Search ranking abuses as well as virus spread were fueled by fraudulent behaviors on Store, the far more prominent Android - based store. Research to date has centered on programme execution with authorization evaluation in order to detect infection. In this work, we Offer Fair Play, the revolutionary approach which detects ransomware applications programmes that have been exposed to also searching ranking manipulation via discovering the leveraging evidence left after the scammers. So aim to recognize dangerous programs, Fair Play connects reviewing actions and integrates observed evaluation links using verbal as well as behavioral through Store information (89 thousand apps, 2.5 Million reviews, and 2.2M users, gathered across 1/2 a decade). In categorizing validated databases of ransomware, counterfeit, & genuine apps, Fair Play obtains almost 93% efficiency.