Recognizing Spam Domains by Extracting Features From Spam Emails Using Data Mining

In this paper, the authors attempt to develop an algorithm to recognize spam domains using data mining techniques with the focus on law enforcement forensic analysis. Spam filtering has been the major weapon against spam, but failed to reduce the number of spam emails sent to an indiscriminate set of recipients. The proposed algorithm accepts as input, spam mails of personal account and extracts features such as stylistic, semantic, related email subjects and URLs present in the emails.

Provided by: International Journal of Computer Applications Topic: Security Date Added: Mar 2014 Format: PDF

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