Spam control

Spam control is big business in organizations. Employees having to deal with unsolicited commercial/bulk mail are something that not only reduces productivity but also eats into the company's bottom-line.

Another thing that eats into the company's bottom-line is the lack of productivity and disturbance caused by Microsoft Windows due to its various vulnerabilities, viruses, worms , trap doors and other malwares not to mention crashes of course.


Spam control has to invariably fall under one of the following categories.
• Bayesian filtering and contextual analysis
• Heuristical filtering based on known keywords/bad words
• CRM114 Markovian chain based filtering
• Vipul's razor approach of DCC (Distributed checksum computation) with manual interference – gmail uses this heavily
• Greylisting to stop spam right at the MTA level
• IP address blacklisting and e-mail address whitelisting.
• TMDA – cure worse than the disease (Only approved senders can send mail)
• RBL lists , spamhaus (politically sensitive spam control techniques)
• Sender Policy Framework(SPF) (not a bad idea per se) but does not work well