Efficient usage of the data capacity of the worldwide networks requires adequate filtering of the spam or junk emails. During the last two decades, a lot of progress has been achieved in this field which has led to the development of several spam filters. The functionality and back end algorithm of these filters varies widely but the aim is one and very simple. We need to discuss the major types of these filters in order to decide which would suit a particular person, network or a machine.
One of the earliest versions of spam filters was the one which used a keyword in the subject line of the email. The biggest flaw for this filter was the fact that is used to block emails from unknown but genuine senders. For example for a job seeker, it might block all the emails from the prospective employers. The next generation of email spam filters brought the idea of naming the spam email sources and preparing a list of the good and the bad emails. Upon receiving the email, the web account will filters according to the setting of the data based of notorious spammers. The problem with this filter was the static nature of the filtering criteria. The data base of the filters had to be modified on the server and in many cases the system was unable to distinguish new spammer activity on the internet. The modern filters for spam emails include the dynamic mathematical filters which are based on live data. This filter is applied on the server end and combines logical and mathematical algorithms for its functionality. The content of email is scanned and based on the back end procedure; the decision is taken for the spam identification. The modern methods have reduced the spam email to almost 20 percent in the recent years.
With technological advancements in internet and protocol structures, we can expect filters to perform on hundred percent efficiently. An email free of spam will soon be a reality
One of the earliest versions of spam filters was the one which used a keyword in the subject line of the email. The biggest flaw for this filter was the fact that is used to block emails from unknown but genuine senders. For example for a job seeker, it might block all the emails from the prospective employers. The next generation of email spam filters brought the idea of naming the spam email sources and preparing a list of the good and the bad emails. Upon receiving the email, the web account will filters according to the setting of the data based of notorious spammers. The problem with this filter was the static nature of the filtering criteria. The data base of the filters had to be modified on the server and in many cases the system was unable to distinguish new spammer activity on the internet. The modern filters for spam emails include the dynamic mathematical filters which are based on live data. This filter is applied on the server end and combines logical and mathematical algorithms for its functionality. The content of email is scanned and based on the back end procedure; the decision is taken for the spam identification. The modern methods have reduced the spam email to almost 20 percent in the recent years.
With technological advancements in internet and protocol structures, we can expect filters to perform on hundred percent efficiently. An email free of spam will soon be a reality
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