Identification of SPAM messages using an approach inspired on the immune system

In this paper, an immune-inspired model, named IA-AIS (Innate and Adaptive Artificial Immune System) is proposed and applied to the problem of identification of unsolicited bulk e-mail messages (SPAM). It integrates entities analogous to macrophages, B and T lymphocytes, modeling both the innate and the adaptive immune systems. An implementation of the algorithm was capable of identifying more than 99% of legitimate or SPAM messages in particular parameter configurations. It was compared to an optimized version of the na

• Type: Journal
• Year: 2008
• Where: BIOSYSTEMS
• Authors: Thiago S. Guzella, Tomaz A. Mota-Santos, Joaquim Quinteiro Uchôa, Walmir M. Caminhas
• Keywords: Artificial Immune System, BIOSYSTEMS 2008, Immune System, Spam Messages