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...
| Main Authors: | , , |
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| Format: | Article |
| Published: |
2007
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| Online Access: | https://eprints.nottingham.ac.uk/570/ |
| _version_ | 1848790433186971648 |
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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. |
| first_indexed | 2025-11-14T18:12:32Z |
| format | Article |
| id | nottingham-570 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T18:12:32Z |
| publishDate | 2007 |
| recordtype | eprints |
| repository_type | Digital Repository |
| 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/ |