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spam_filter

 

For most email users, using an email Spam filter to get rid of Spam is the only viable alternative to manually sifting through large numbers of junk email every day.

There are different kinds of filters:

User defined filters are included in most email clients today. With these filters you can forward email to different mailboxes depending on headers or contents. For example, you would put email from each of your friends into a mailbox named after them. You can also use these same filters to forward email to the trash if the origin or contents are suspicious. To do this you need to carefully look at any Spam emails you receive. Try to notice common characteristics, recurring patterns in senders’ email addresses, dubious claims in the subject line and so on. You will soon find that Spam filtering using a small number of rules can eliminate a large number of Spam emails.

Header filters are more sophisticated. They look at the email headers to see if they are forged. Email headers contain information in addition to the recipient, sender and subject fields displayed on your screen. They also contain information regarding the servers that were used in delivering your email (the relay chain). Many spammers do not want to be traced. They put false information in the email headers to prevent people from contacting them directly. Some anti spam programs can detect forged headers which are a sure indication that the email is Spam. Not all Spam has forged headers though, so this filter by itself is not sufficient.

Language filters simply filter out any email that is not in your native tongue. It only filters out foreign language Spam, which is not a major problem today, unless the foreign language under question is English. In future, languages other than English are expected to make up an increasingly large percentage of Internet communications. If you do not expect to get emails in another language, this may be a quick and easy way to eliminate some portion of your Spam.

Content filters scan the text of an email and use fuzzy logic to give a weighted opinion as to whether the email is Spam. They can be highly effective, but can also occasionally filter out newsletters and other bulk email that may appear to be Spam. This can usually be overridden by explicitly authorizing email from domains you subscribe to.

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4 comments on "99% spam filter by Indsoft system"
  Commented by  Rohit Thakur, Sr. MEP QA/QC Engineer, QA/QC INCHARGE, CONSTRUCTION SPECIALIST-MEP    | 06 21 2011 05:51:33 +0000
Well i ll try to implement this..thanks for sharing Mr. kamble.
  Commented by  Muhammed jabir rifai, Graduate in Mechanical Engineering    | 06 20 2011 17:31:41 +0000
Very informative. I have a question. In one of my unused email account i used to get spam messages without any sender or the sender is pretending to be 'me'. How can i set a filter to that and redirect to the Trash.?
  Commented by  S. Muralidharan, Head, Project Planning/Strategy, Knowledge Foundation    | 06 20 2011 11:22:31 +0000
Thanks for sharing very useful information, Sameer.  
  Commented by  Rathin Deb, Freelance Retail Consultant    | 06 20 2011 08:42:39 +0000
Yes sameer very useful information. Thanks.
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