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  • Added for You - 2000 Exchange Mail Server - How To Filter Spam (Part One of Two)

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    future emails of this sort will NOT sneak through.

    In other words, the anti spam software that uses Bayesian analysis can learn and get better over time -- if you teach it to do so.

  • Downloadable spam signatures

    Typical Bayesian analysis relies mostly on your own unique description of what you consider to be spam -- and that's important.

    But sometimes, two h

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    If you were suddenly made responsible for stopping spam on your Microsoft Windows network, what would you do first? Well, if you're like me, you'd probably Google "anti spam Exchange server" or something similar to that.

    Next, you'd spend some time reading a lot of reviews and articles about anti spam software suited for a Microsoft enterprise network.

    Lastly you'd extract (from the articles) a list of the most commonly found bells and whistles that the current anti spam technology offers. You'd use this as a kind of wish list, or yardstick, against which you would judge all the possible anti spam solutions available to you.

    Well, as you might imagine, I recently did that and here is a list of features that any decent Exchange server-compatible anti spam solution should have. Your mileage may vary depending on what you need your solution to provide, but here's my list.

    Filter spam on an Exchange mail server by doing one or more of the following:

    • Bayesian Analysis

      Anti spam software of this sort allows you to begin by classifying one or emails as "spam." Then, as your email arrives, the anti spam software looks at every other email to see if fits the definition you set. If it does, it goes to the spam folder; if it doesn't, it gets through to your inbox. But it doesn't stop there. Suppose an email gets through the "Bayesian filter." You can (and should) tag that email as spam -- so that the software can add the characteristics of that email to its spam profile. What this means is that future emails of this sort will NOT sneak through.

      In other words, the anti spam software that uses Bayesian analysis can learn and get better over time -- if you teach it to do so.

    • Downloadable spam signatures

      Typical Bayesian analysis relies mostly on your own unique description of what you consider to be spam -- and that's important.

      But sometimes, two he

      Eliminating Business Debt
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      (from the articles) a list of the most commonly found bells and whistles that the current anti spam technology offers. You'd use this as a kind of wish list, or yardstick, against which you would judge all the possible anti spam solutions available to you.

      Well, as you might imagine, I recently did that and here is a list of features that any decent Exchange server-compatible anti spam solution should have. Your mileage may vary depending on what you need your solution to provide, but here's my list.

      Filter spam on an Exchange mail server by doing one or more of the following:

      • Bayesian Analysis

        Anti spam software of this sort allows you to begin by classifying one or emails as "spam." Then, as your email arrives, the anti spam software looks at every other email to see if fits the definition you set. If it does, it goes to the spam folder; if it doesn't, it gets through to your inbox. But it doesn't stop there. Suppose an email gets through the "Bayesian filter." You can (and should) tag that email as spam -- so that the software can add the characteristics of that email to its spam profile. What this means is that future emails of this sort will NOT sneak through.

        In other words, the anti spam software that uses Bayesian analysis can learn and get better over time -- if you teach it to do so.

      • Downloadable spam signatures

        Typical Bayesian analysis relies mostly on your own unique description of what you consider to be spam -- and that's important.

        But sometimes, two h

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        spam solution should have. Your mileage may vary depending on what you need your solution to provide, but here's my list.

        Filter spam on an Exchange mail server by doing one or more of the following:

        • Bayesian Analysis

          Anti spam software of this sort allows you to begin by classifying one or emails as "spam." Then, as your email arrives, the anti spam software looks at every other email to see if fits the definition you set. If it does, it goes to the spam folder; if it doesn't, it gets through to your inbox. But it doesn't stop there. Suppose an email gets through the "Bayesian filter." You can (and should) tag that email as spam -- so that the software can add the characteristics of that email to its spam profile. What this means is that future emails of this sort will NOT sneak through.

          In other words, the anti spam software that uses Bayesian analysis can learn and get better over time -- if you teach it to do so.

        • Downloadable spam signatures

          Typical Bayesian analysis relies mostly on your own unique description of what you consider to be spam -- and that's important.

          But sometimes, two h

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          looks at every other email to see if fits the definition you set. If it does, it goes to the spam folder; if it doesn't, it gets through to your inbox. But it doesn't stop there. Suppose an email gets through the "Bayesian filter." You can (and should) tag that email as spam -- so that the software can add the characteristics of that email to its spam profile. What this means is that future emails of this sort will NOT sneak through.

          In other words, the anti spam software that uses Bayesian analysis can learn and get better over time -- if you teach it to do so.

        • Downloadable spam signatures

          Typical Bayesian analysis relies mostly on your own unique description of what you consider to be spam -- and that's important.

          But sometimes, two h

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          The voice over the telephone is perhaps the first point of contact a customer has with a company – whether big or small. If first impressions are lasting impressions then this first phone call can make or break the image of a business house in the eyes of a potential customer. The fast pace of growth and development in the computing and telecommunications technology have made many products and services accessible to the common man and his small business
          future emails of this sort will NOT sneak through.

          In other words, the anti spam software that uses Bayesian analysis can learn and get better over time -- if you teach it to do so.

        • Downloadable spam signatures

          Typical Bayesian analysis relies mostly on your own unique description of what you consider to be spam -- and that's important.

          But sometimes, two heads are better (and faster) than one. What if you could tap into a database of spam characteristics that were put together by hundreds or thousands of other users? That what you get when you use anti spam software that periodically downloads new spam signatures. The big advantage is that you are casting a wider net. The disadvantage is that you might not agree with the crowd's opinion of what constitutes spam.

        • Keyword checking

          This anti spam feature identifies spam email by looking for certain words, like "Viagra." As you might imagine, this is a pretty crude method. For example, what if your name is Gay Smith? A keyword-checking spam filter might strike this email for containing objectionable content. Don't laugh -- I just read about this very thing happening.

        • Header checking

          This is a pretty basic form of spam blocking where the anti spam software checks to see if the email header shows tell-tale signs of spam:

          • Has the sender identified himself in the From: field? If not, it's probably spam.
          • Does the email have a "large number" of listed recipients (you can set the number)? If so, consider it the same as spam.
          • Block email containing only remote images. To get around keyword or even Bayesian filters, spammers now send out email that shows only a picture, i.e., a graphic of a bottle of viagra with an associated (non-text) caption. In addition, they might put a small amount of non-spam text in the message. Good anti spam software will block that.
          • Check to see if the

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