Online Fake Drug Detection System using Big Data Analysis

Abstract

The sizeable use of net provides giant heterogeneous machines to sale drug . The net has significantly facilitated the growth of products sales, meanwhile, many fake drug sellers that has been strongly restricted in the marketplace by regulation enforcement groups build their very own structures for income through the net. Which will in opposition to the false drug website, lessen time and  human  useful  resource consumption, it is vital to display screen and perceive the drug data at the     net automatically. In this paper, we create an automatic drug information screening and content analytical machine which online distract the statistics and mine the hidden courting and find the supply of the dealers. Our predominant contributions lie in the ones components as follows: (I) we apply focused crawler method to transform the unstructured records on the drug internet site into based information, and stored the records inside the nearby database. (II) An incorporated fake drug identification method is proposed which consists of a photo reputation module and statistics retrieval module. Based totally on this approach, the fake drug website is not most effective diagnosed one at a time, however we also extract the hidden connections of more than one systems. Experimental results exhibit that our gadget can efficaciously discover a large quantity of fake drug internet site.