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Overview:

Many spam filtering techniques in the last few years have focused on statistical analysis. Although these models have become extremely efficient, they can be very expensive to train and deploy in large organizations. This paper discusses simple yet effective header verification techniques that can identify over 90% of current spam with less than 1% false positives, requiring only about 1 ms. of processor time per message. If implemented at the SMTP level, these tests can reduce bandwidth usage, storage requirements, and relieve overloaded statistical filters.

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Format:PDFSize:285 KB
Date:Mar 2007
Pages:13

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