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

Tools

Greensmith, Julie, Aickelin, Uwe and Cayzer, Steve (2005) 'Introducing Dendritic Cells as a Novel Immune-Inspired Algorithm for Anomaly Detection'. In: ICARIS-2005, 4th International Conference on Artificial Immune Systems, LNCS 3627, 2005, Banff, Canada.

WarningThere is a more recent version of this item available.
[img] PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Download (1MB)

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.

Item Type: Conference or Workshop Item (Paper)
Keywords: artificial immune systems, dendritic cells, anomaly detection, Danger Theory
Schools/Departments: University of Nottingham, UK > Faculty of Science > School of Computer Science
Depositing User: Aickelin, Professor Uwe
Date Deposited: 07 Nov 2005
Last Modified: 31 May 2021 14:47
URI: https://eprints.nottingham.ac.uk/id/eprint/275

Available Versions of this Item

Actions (Archive Staff Only)

Edit View Edit View