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'Introducing Dendritic Cells as a Novel Immune-Inspired Algorithm for Anomaly Detection'

Greensmith, Julie; Aickelin, Uwe; Cayzer, Steve

'Introducing Dendritic Cells as a Novel Immune-Inspired Algorithm for Anomaly Detection' Thumbnail


Authors

Uwe Aickelin

Steve Cayzer



Abstract

Abstract. Dendritic cells are antigen presenting cells that provide a vital link between the innate and adaptive immune system. Research into this family of cells has revealed that they perform the role of coordinating T-cell based immune responses, both reactive and for generating tolerance. We have derived an algorithm based on the functionality of these cells, and have used the signals and differentiation pathways to build a control mechanism for an artificial immune system. We present our algorithmic details in addition to some preliminary results, where the algorithm was applied for the purpose of anomaly detection. We hope that this algorithm will eventually become the key component within a large, distributed immune system, based on sound immunological concepts.

Citation

Greensmith, J., Aickelin, U., & Cayzer, S. (2005). 'Introducing Dendritic Cells as a Novel Immune-Inspired Algorithm for Anomaly Detection'.

Conference Name ICARIS-2005, 4th International Conference on Artificial Immune Systems, LNCS 3627
Publication Date Jan 1, 2005
Deposit Date Oct 12, 2007
Publicly Available Date Oct 12, 2007
Peer Reviewed Peer Reviewed
Keywords artificial immune systems, dendritic cells, anomaly detection, Danger Theory
Public URL https://nottingham-repository.worktribe.com/output/1020354

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