Information fusion in the immune system
Biologically-inspired methods such as evolutionary algorithms and neural networks are proving useful in the field of information fusion. Artificial immune systems (AISs) are a biologically-inspired approach which take inspiration from the biological immune system. Interestingly, recent research has...
| Main Authors: | , |
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| Format: | Article |
| Published: |
Elsevier
2010
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| Online Access: | https://eprints.nottingham.ac.uk/1242/ |
| _version_ | 1848790568157577216 |
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| author | Twycross, Jamie Aickelin, Uwe |
| author_facet | Twycross, Jamie Aickelin, Uwe |
| author_sort | Twycross, Jamie |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | Biologically-inspired methods such as evolutionary algorithms and neural networks are proving useful in
the field of information fusion. Artificial immune systems (AISs) are a biologically-inspired approach which take inspiration from the biological immune system. Interestingly, recent research has shown how AISs which use multi-level information sources as input data can be used to build effective algorithms for realtime computer intrusion detection. This research is based on biological information fusion mechanisms used by the human immune system and as such might be of interest to the information
fusion community. The aim of this paper is to present a summary of some of the biological information fusion mechanisms seen in the human immune system, and of how these mechanisms have been implemented as AISs. |
| first_indexed | 2025-11-14T18:14:41Z |
| format | Article |
| id | nottingham-1242 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T18:14:41Z |
| publishDate | 2010 |
| publisher | Elsevier |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-12422020-05-04T20:25:59Z https://eprints.nottingham.ac.uk/1242/ Information fusion in the immune system Twycross, Jamie Aickelin, Uwe Biologically-inspired methods such as evolutionary algorithms and neural networks are proving useful in the field of information fusion. Artificial immune systems (AISs) are a biologically-inspired approach which take inspiration from the biological immune system. Interestingly, recent research has shown how AISs which use multi-level information sources as input data can be used to build effective algorithms for realtime computer intrusion detection. This research is based on biological information fusion mechanisms used by the human immune system and as such might be of interest to the information fusion community. The aim of this paper is to present a summary of some of the biological information fusion mechanisms seen in the human immune system, and of how these mechanisms have been implemented as AISs. Elsevier 2010 Article PeerReviewed Twycross, Jamie and Aickelin, Uwe (2010) Information fusion in the immune system. Information Fusion, 11 (1). pp. 35-44. ISSN 1566-2535 http://dx.doi.org/10.1016/j.inffus.2009.04.008 doi:10.1016/j.inffus.2009.04.008 doi:10.1016/j.inffus.2009.04.008 |
| spellingShingle | Twycross, Jamie Aickelin, Uwe Information fusion in the immune system |
| title | Information fusion in the immune system |
| title_full | Information fusion in the immune system |
| title_fullStr | Information fusion in the immune system |
| title_full_unstemmed | Information fusion in the immune system |
| title_short | Information fusion in the immune system |
| title_sort | information fusion in the immune system |
| url | https://eprints.nottingham.ac.uk/1242/ https://eprints.nottingham.ac.uk/1242/ https://eprints.nottingham.ac.uk/1242/ |