Spam Filter - Bayesian Filter to Fight back SpammersThe number of Spam, Phishing, Fraud and Non English Character mails has increased many folds.
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Micky Sing August 03, 2006
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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 that’s
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 primarily eBay and PayPal accounts. These emails come as a
"Last Warning", "Attention Required", "Password Change Required" or
"Your account is suspended" among many more. These mails appear to have
come from eBay or PayPal and provide a link to their own page. These
pages are designed just like the original pages and the unsuspecting
user ends up providing his/her sensitive information like
username/password or Credit Card Information to these duplicate pages.
Here I would like to add one piece of advice to all users that you
should always see where the link is taking you by seeing the tool tip
and then if sure, follow the link. The role of content in
marking the mail spam or not spam has been achieved using the Bayesian
filter. Together with the Black List of spammers and White list of
trusted emails ids, is the best technique to counter the spam. The most
interesting fact is that Spam Filter with Bayesian algorithm is a self
learning filter. The more you use, the more secure you shall be within
a matter of few days. The spam filter integrate easily with
popular emails clients such MS outlook and Outlook Express. With due
course, up to 98% of the spam mails can be stopped from entering your
Inbox. The Spam Filter for Outlook Express and Spam Filter for
Microsoft Outlook, with the features of White List/Black List and
properly used Bayesian Algorithm will help prevent spam mails, phishing
mails and fraud mails from bothering you further. There has
been a considerable increase in the spam mails containing Non English
Characters also. The Bayesian Algorithm based Spam Filter also must
have the capability to parse non English characters and mark as spam
mail. To get rid of continuous spam mails, phishing mails,
fraud mails and Non-English mails, you might like to try Official Spam
Filter for Outlook Express 1.2 and Official Spam Filter for Microsoft
Outlook 1.2. Official Spam Filter has the capability to seamlessly
integrate with MS Outlook and Outlook Express and provide following
features:
•Bayesian Algorithm for Anti Spam Filtering •Auto Learning Bayesian Filter to challenge Spam Emails •White List of Trusted Email Address •Custom Black List •Individual Marking of Spam/Not Spam Emails •Optional feature to block Non-English Emails •Complete Mail Header Information For more information, visit Spam Filter
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