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  • Casual Articles - 2000 Exchange Mail Server - How To Filter Spam (Part One of Two)

    Retail Store U-Scan Machines: Self-Serve or Voluntary Part Time Job?
    Do many of us realize that we are working an unpaid part time job for the grocery stores and some home appliance stores? We are ringing up our own goods, are not getting any price discount for doing so and are saving these retailers money.Each self-serve lane contains two to three self-serve scanners. Retailers have an average of two to four self-serve lanes. Retailers are saving each store an average of four to eight cashiers’ salaries per st
    bjectionable 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 v
      What's in an Ad?
      Print ads generally have four written parts: headline, support ded with nothing but negatives. Others point to the enduring effectivenesscopy, call to action, company name and a visual. Visuals are usually more important than copy because they're more effective in attracting readers' attention and can instantly present your product or service in a dramatic and motivating way. Unless you're commissioning your own original
      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 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 vi
          How You Can Get Your Product Offered On Over 80,000 Websites for FREE!
          If you have been online for more than a day you have probably discovered that there are many ways to market products and services.From banners to classifieds to ezines to joint ventures, it seems that everyone has discovered the "secret" to marketing on the Internet.Frankly, it can be confusing.One thing that is vitally important is to separate what CAN work from what can work for YOU.After all, you don't need theory, you nee
          u 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 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 v
              Web Users Crave Familiarity
              The sad truth is, general Web users would love it if all our sites looked like Amazon.com.They'd immediately be familiar with the interface, they would know how to find what they wanted, and they'd find it a breeze to check out and complete the purchase.Or, if your site is crammed full of thousands of pages of content, make it look like Yahoo!. That's what FindLaw.com has done.The trouble is, the creative spirit hates to copy the wo
              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 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 v
                Pioneering a New Internet Industry
                Internet Video is leading the way to Internet Television. The status quo is changing in the entertainment industry. No longer will the ole boy network control such a huge potential for profits. Now, thanks to broadband Internet Access and video technology, an entirely new industry is being created. That industry is Internet Television.Innovative entrepreneurs have found ways to create and produce television for the Internet without having to
                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 v
                  Mentor A New Business? What's In It For Me?
                  Have you ever considered mentoring a new business? You might want to try it! Because a funny thing happens when you help another business expand its potential - you will expand your own!Just as volunteers often claim that they received so much more than they gave, mentors also assert the same. You might ask, "Why mentor? What's in it for me?" Plenty! The rewards are numerous, and the new alliance might lead to new opportunities also!
                  bjectionable 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 domain is real. The anti spam software will do a "DNS lookup." If the domain is not listed, the email is probably spam.

                (End of part one of two)

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