KDnuggets : News : 2008 : n12 : item25 | PREVIOUS | NEXT |
PublicationsFrom: Vincent GranvilleDate: 22 Jun 2008 Subject: Data Mining Techniques Unearth Major Click Fraud Botnet Using design of experiments techniques and statistical data mining, I identified a botnet generating more than 10 million dollars in click fraud revenue annually. I discovered and understood the mechanism used by the botnet to generate click fraud. I also discovered that with very little additional efforts and intelligence, they could potentially have generated 100 million in fraud revenue and at the same time be considerably more difficult to detect. http://www.analyticbridge.com/group/successstories The botnet - a low frequency botnet hitting advertisers no more than twice per day to avoid detection, was initially discovered in a small dataset that was used for testing purposes. The dataset in question was part of a design of experiments. Oultlier detection techniques applied to million of multivariate and compound metrics found that the click-to-conversion ratio was consistently outside a very conservative confidence interval. This initiated an investigation where many other abnormalities were found:
Vincent Granville, Ph.D.
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KDnuggets : News : 2008 : n12 : item25 | PREVIOUS | NEXT |
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