E-mail is a technology that affects nearly everyone who has access to the Internet. The technology is now so widespread that it has become somewhat of a necessity in daily lives. For businesses the
technology, as a source of income and communication is priceless. However e-mail is also a heaven
for the advertisers. It is unique in the fact that it provides a means by which millions of people can be
reached by the mere click of a button.
As a means of advertising, e-mail is unrivalled. Contacting people all over the world is simple.
However an issue arises when the people being contacted do not want to be contacted. This is where
opportunists with an eye for a quick buck come in, and junk e-mail is born. Mass mailing e-mail accounts indiscriminately is cheap, and more importantly, cost effective. This problem of junk mail affects both businesses and individuals alike, but the repercussions can be much greater for businesses
that are flooded with junk mail.
This project aims initially to look at the problem with junk mail, and how and why it affects
businesses. Once the reasons for junk mail have been identified, the emphasis of the project will shift
to analysing the technologies available to combat junk mail and the follow on from this is to look at a
specific company, GBdirect, who have a problem with junk mail, and to provide them with a solution
to their problem.
The project looked closely at junk mail filters and even more so at how the Bayesian and rule-based
approaches work, and how they could be used to filter mail for GBdirect. The project also looked at
integrating a mail filter with the system at GBdirect.