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 d

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 du

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 d

nto 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 d

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 d

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.

For more information, visit http://www.officialspamfilter.com/spam_filter_features.htm