Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{145701,
        author = {A.LeelaMohanReddy and T.spandana},
        title = {Applying DataMining techniques for Searching fraud Websites},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {4},
        number = {11},
        pages = {26-27},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=145701},
        abstract = {False practices in Google Play, the principal far reaching humanoid application showcase, fuel seek rank manhandle and malware expansion. to spot malware, past work has focused on application reasonable and authorization examination. In this paper, we tend to present FairPlay, a special framework that finds and use follows left behind by fraudsters, to locate each malware and applications subjected to look rank extortion. FairPlay connects audit exercises and unambiguously consolidates distinguished survey relations with phonetic and action signals gathered from Google Play application information , in order to recognize suspicious applications. FairPlay accomplishes more than ninety fifth exactness in ordering gold typical datasets of malware, beguiling and genuine applications. we tend to demonstrate that seventy fifth of the known malware applications have cooperation in seek rank misrepresentation. FairPlay finds numerous false applications that by and by avoid Google Bouncer's recognition innovation.},
        keywords = {Android market, search rank fraud, malware detection.},
        month = {},
        }