Spam Filtering Method Based on an Artificial Immune System

This paper presents a spam immune method to effectively filter the unsolicited email messages. The idea is to classify messages using the trained antibodies, which are produced by the artificial immune system based on the gene fragment library. The approach focuses on the libraries used to generate the detectors, the training of antibody and the filtering application. The experimental results show the spam filtering is accurate and effective.