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Spam Detection and Email Classification
Shahin Shakeri, Paolo Rosso
155 - 167
NATO Security through Science Series - D: Information and Communication Security
Volume 6: Information Assurance and Computer Security
Abstract

This paper presents an extension of BSP anti-spam project [0] which is a context-based solution to filter spam and a SMTP procedure modification which can classify emails right after they get into the user inbox. Filtering is based on a multilevel statistical approach to assign a probability to an email tokens taking into consideration their occurrence in previous emails. In addition, we suggest a modification on the SMTP email protocol procedure in order to reduce the size of the problem.

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