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

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...

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Main Authors: Greensmith, Julie, Aickelin, Uwe, Cayzer, Steve
Format: Conference or Workshop Item
Published: 2005
Online Access:https://eprints.nottingham.ac.uk/582/
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author Greensmith, Julie
Aickelin, Uwe
Cayzer, Steve
author_facet Greensmith, Julie
Aickelin, Uwe
Cayzer, Steve
author_sort Greensmith, Julie
building Nottingham Research Data Repository
collection Online Access
description 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 imnological concepts.
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format Conference or Workshop Item
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institution University of Nottingham Malaysia Campus
institution_category Local University
last_indexed 2025-11-14T18:12:35Z
publishDate 2005
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spelling nottingham-5822020-05-04T20:30:51Z https://eprints.nottingham.ac.uk/582/ Introducting Dendritic Cells as a Novel Immune-Inspired Algorithm for Anomaly Detection Greensmith, Julie Aickelin, Uwe Cayzer, Steve 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 imnological concepts. 2005 Conference or Workshop Item PeerReviewed Greensmith, Julie, Aickelin, Uwe and Cayzer, Steve (2005) Introducting Dendritic Cells as a Novel Immune-Inspired Algorithm for Anomaly Detection. In: Proceedings of the 4th International Conference on Artificial Immune Systems (ICARIS 2005), Banff, Canada.
spellingShingle Greensmith, Julie
Aickelin, Uwe
Cayzer, Steve
Introducting Dendritic Cells as a Novel Immune-Inspired Algorithm for Anomaly Detection
title Introducting Dendritic Cells as a Novel Immune-Inspired Algorithm for Anomaly Detection
title_full Introducting Dendritic Cells as a Novel Immune-Inspired Algorithm for Anomaly Detection
title_fullStr Introducting Dendritic Cells as a Novel Immune-Inspired Algorithm for Anomaly Detection
title_full_unstemmed Introducting Dendritic Cells as a Novel Immune-Inspired Algorithm for Anomaly Detection
title_short Introducting Dendritic Cells as a Novel Immune-Inspired Algorithm for Anomaly Detection
title_sort introducting dendritic cells as a novel immune-inspired algorithm for anomaly detection
url https://eprints.nottingham.ac.uk/582/