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Evaluation of Spam Advertised Domains
Citation key FK-ESAD-12
Author Fiedler, Hannes and Klieme, Eric
Year 2012
Address Berlin, Germany
Month May
School Technische Universität Berlin
Abstract This report deals with the description and the results of a student project at FG INET of TU Berlin. The focus was to develop an approach to automatically classify newly registered domains based on the risk, that they are part of a spamming campaign. Therefore we implemented a software which collects publicly available data for domains received from a feed of true positives (i.e. real spam advertized domains). This data was then analyzed with the intent of identifying possible features of those spam advertised domains.
Bibtex Type of Publication Projekt
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