Information Fusion for Anomaly Detection with the Dendritic Cell Algorithm

Dendritic cells are antigen presenting cells that provide a vital link between the innate and adaptive immune system, providing the initial detection of pathogenic invaders. Research into this family of cells has revealed that they perform information fusion which directs immune responses. We have...

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Main Authors: Greensmith, Julie, Aickelin, Uwe, Tedesco, Gianni
Format: Article
Published: 2007
Subjects:
Online Access:https://eprints.nottingham.ac.uk/570/
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author Greensmith, Julie
Aickelin, Uwe
Tedesco, Gianni
author_facet Greensmith, Julie
Aickelin, Uwe
Tedesco, Gianni
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, providing the initial detection of pathogenic invaders. Research into this family of cells has revealed that they perform information fusion which directs immune responses. We have derived a Dendritic Cell Algorithm based on the functionality of these cells, by modelling the biological signals and differentiation pathways to build a control mechanism for an artificial immune system. We present algorithmic details in addition to experimental results, when the algorithm was applied to anomaly detection for the detection of port scans. The results show the Dendritic Cell Algorithm is successful at detecting port scans.
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spelling nottingham-5702020-05-04T20:28:52Z https://eprints.nottingham.ac.uk/570/ Information Fusion for Anomaly Detection with the Dendritic Cell Algorithm Greensmith, Julie Aickelin, Uwe Tedesco, Gianni Dendritic cells are antigen presenting cells that provide a vital link between the innate and adaptive immune system, providing the initial detection of pathogenic invaders. Research into this family of cells has revealed that they perform information fusion which directs immune responses. We have derived a Dendritic Cell Algorithm based on the functionality of these cells, by modelling the biological signals and differentiation pathways to build a control mechanism for an artificial immune system. We present algorithmic details in addition to experimental results, when the algorithm was applied to anomaly detection for the detection of port scans. The results show the Dendritic Cell Algorithm is successful at detecting port scans. 2007 Article PeerReviewed Greensmith, Julie, Aickelin, Uwe and Tedesco, Gianni (2007) Information Fusion for Anomaly Detection with the Dendritic Cell Algorithm. Information Fusion . (In Press) Information Fusion Anomaly Detection Dendritic Cell Algorithm modelling biological signals differentiation pathways http://www.elsevier.com/wps/find/journaldescription.cws_home/620862/description#description
spellingShingle Information Fusion
Anomaly Detection
Dendritic Cell
Algorithm
modelling
biological signals
differentiation pathways
Greensmith, Julie
Aickelin, Uwe
Tedesco, Gianni
Information Fusion for Anomaly Detection with the Dendritic Cell Algorithm
title Information Fusion for Anomaly Detection with the Dendritic Cell Algorithm
title_full Information Fusion for Anomaly Detection with the Dendritic Cell Algorithm
title_fullStr Information Fusion for Anomaly Detection with the Dendritic Cell Algorithm
title_full_unstemmed Information Fusion for Anomaly Detection with the Dendritic Cell Algorithm
title_short Information Fusion for Anomaly Detection with the Dendritic Cell Algorithm
title_sort information fusion for anomaly detection with the dendritic cell algorithm
topic Information Fusion
Anomaly Detection
Dendritic Cell
Algorithm
modelling
biological signals
differentiation pathways
url https://eprints.nottingham.ac.uk/570/
https://eprints.nottingham.ac.uk/570/