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The study of Artificial Immune Systems deals with the development of computational abstractions of the human immune system.AIS,in recent years has emerged as a new branch of Artificial Intelligence gaining ready acceptance in areas of computer security,anomaly detection,pattern recognition,robotics etc.There has been a lot of isolated work in this field till date which makes it difficult for anyone to have a complete overview of the evolution of AIS throughout the past years and its recent implementations.This review paper makes an attempt to present in a compact format,nearly all major works that have been done in the field of AIS and make a survey of existing methods and new initiatives.This paper focuses on the classical mechanisms of clonal selection,negative selection and immune networks theory,their limitations,the recent developments incorporating the dendritic cell algorithm,the new idea of “Danger Theory” that challenges the classical selfnon-self viewpoint and their implementations in intrusion detection systems.

Artificial Immune System Research in the past years-an overview of existing methods, new initiatives and applications in intrusion detection systems