Introducing dendritic cells as a novel immune-inspired algorithm for anomaly detection

Julie Greensmith, Uwe Aickelin, Steve Cayzer

Research output: Chapter in Book/Report/Conference proceedingOther chapter contribution

194 Citations (Scopus)

Abstract

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.
Original languageEnglish
Title of host publicationArtificial Immune Systems
Subtitle of host publication4th International Conference, ICARIS 2005, Banff, Alberta, Canada, August 14-17, 2005. Proceedings
EditorsChristian Jacob, Marcin Pilat, Peter Bentley, Jonathan Timmis
PublisherSpringer
Pages153-167
Number of pages15
ISBN (Electronic)978-3-540-31875-0
ISBN (Print)978-3-540-28175-7
DOIs
Publication statusPublished - 2005

Keywords

  • artificial immune systems
  • Danger Theory
  • dendritic cells
  • anomaly detection

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    Greensmith, J., Aickelin, U., & Cayzer, S. (2005). Introducing dendritic cells as a novel immune-inspired algorithm for anomaly detection. In C. Jacob, M. Pilat, P. Bentley, & J. Timmis (Eds.), Artificial Immune Systems: 4th International Conference, ICARIS 2005, Banff, Alberta, Canada, August 14-17, 2005. Proceedings (pp. 153-167). Springer. https://doi.org/10.1007/11536444_12