Spam Filter – Bayesian Filter to Fight back Spammers

| Total Words: 569

The most prolific and path breaking innovation of last century had been the developments in the communication field. It literally changed the business working, product marketing, support services and most importantly, the advertisement campaigns.

But just like all goods things comes with a price, so was the communication. It brought in the problems of Spam Emails. Automated mailers with mass mailing capabilities, growing marketing dependencies on this tool have seen the large losses in terms of time and money.

There have been many ways of targeting spam mails like blacklisted domains, banned IPs, words in subject and many more. The spammers have always found out a way to change their identity. But here is the catch. The spammers are being paid to send the message. They can change their Domains, IPs, subject lines, but how much they can play with the contents? And thats where content based filtering comes into focus. Now we can understand that by targeting and focusing on message body, there is a better chance of filtering spam emails.

Apart from the usual spam emails, the new menace has been created by the “phishing emails” targeting...

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