Mining Spam Email to Identify Common Origins for Forensic Application

Provided by: Association for Computing Machinery
Topic: Security
Format: PDF
In recent years, spam email has become a major tool for criminals to conduct illegal business on the Internet. Therefore, in this paper, the authors describe a new research approach that uses data mining techniques to study spam emails with the focus on law enforcement forensic analysis. After they retrieve useful attributes from spam emails, they use a connected components clustering algorithm to form relationships between messages. These initial clusters are then refined by using a weighted edges model where membership in the cluster requires the weight to exceed a chosen threshold.

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