文章基本信息

标题：A Survey on Detecting Fake Pharmacy Sites
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作者：Shobhit Soni ; Tejal Patil ; Dinesh Patil 等
期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2016
卷号：5
期号：11
页码：19561
DOI：10.15680/IJIRSET.2016.0511151
出版社：S&S Publications
摘要：Fake online drug stores have turned out to be progressively inescapable, constituting more than 90% ofon the web drug store sites. There is a requirement for fake site recognition systems equipped for distinguishing fakeonline drug store sites with a high level of precision. In this review, we thought about a few surely understoodconnections construct discovery methods in light of a substantial scale test bed with the hyperlink diagram envelopingmore than 80 million connections between 15.5 million site pages, including 1.2 million known genuine and fake drugstore pages. We found that the QoC and QoLclass propagation Algorithms accomplished an exactness of more than90% on our dataset. The outcomes uncovered that calculations that join double class spread and additionally inlink andoutlink data, on page-level or webpage level charts, are more qualified for recognizing fake drug store sites. Likewise,site-level investigation yielded essentially preferred outcomes over page-level examination for generally calculationsassessed.