Identifying Potentially Useful Email Header Features for Email Spam Filtering

Provided by: IARIA
Topic: Security
Format: PDF
Email spam continues to be a major problem in the Internet. With the spread of malware combined with the power of botnets, spammers are now able to launch large scale spam campaigns causing major traffic increase and leading to enormous economical loss. In this paper, the authors identify potentially useful email header features for email spam filtering by analyzing publicly available datasets. Then, they use these features as input to several machine learning-based classifiers and compare their performance in filtering email spam.

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