The Bayesian Spam Filter with NCD.
Michal Prílepok, Jan Platoš, Václav Snåšel, Eyas El‐Qawasmeh · DATESO · 2012
Undesired e-mail (spam) becomes a big problem nowadays not only for users, but also for Internet providers. One of the main ob- stacles for elimination of this problem is a complicated security issues. In particular, the very low rate of falsely detected e-mails in practice. We tried to eliminate this problem by a sucient similarity check of checked e-mails with e-mails marked as unrequested or spam. This paper uses Bayesian algorithm with many variations. For comparison purposes, we used a normalized compression distance which helped us reduce the rate of false detection of individual mails.