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SpamButcher - Behind the Cleaver
After having laid out the design goals I had to figure out how (or if) I could implement them in a spam e-mail blocker
SpamKiller already blocked close to 95% of spam using simple text-based email filtering - so figured that goal would be easy enough to reach. However, it certainly didn't meet the second goal of not intercepting messages from friends on a regular basis. It also required frequent updates to its spam email stopper due to spammers changing their tactics.
I started off by collecting tens of thousands of spam messages reported by on
antispam email groups on the usenet.
It was pretty clear I needed a filtering technology smarter than simple string identification to make this new product work an effective
Some initial data analysis revealed thousands of commonly occurring strings that could be used by antispam programs when detecting spam.
However, my previous experience with SpamKiller told me that I was going to have to develop a more advanced way to get rid of junk email than just searching for various strings.