Evaluation of Spam Advertised Domains

نویسندگان

  • Hannes Fiedler
  • Eric Klieme
چکیده

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.

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تاریخ انتشار 2012