Adaptive Spam Detection Inspired by a Cross-Regulation Model of Immune Dynamics: A Study of Concept Drift

This paper proposes a novel solution to spam detection inspired by a model of the adaptive immune system known as the cross regulation model. The authors report on the testing of a preliminary algorithm on six e-mail corpora. The authors also compare the results statically and dynamically with those obtained by the Naive Bayes classifier and another binary classification method the authors developed previously for biomedical text-mining applications.