Introducing Dendritic Cells as a Novel Immune-Inspired Algorithm for Anomoly Detection
By Julie Greensmith, Uwe Aickelin, Steve Cayzer. International Conference on Artificial Immune Systems, 2005
332 citations recorded by the source corpus.
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 co-ordinating 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.
Subfields: Biomedical Engineering, Immunology
View Paper: https://www.semanticscholar.org/paper/1a7c5745796b83879f3b0b3160e2f019f0340f4c
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Biomedical Engineering
- Leandro Nunes de Castro
- Julie Greensmith
- Uwe Aickelin
- J. Timmis
- Jamie Paul Twycross
- Emma Hart
- Patrick Siarry
- Ilhem Boussaïd
In Immunology
- J. Timmis
- Leandro Nunes de Castro
- J. Mccall
- Nareli Cruz-Cortés
- Carlos Artemio Coello Coello
- Jonathan Timmis
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