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

  • Authors:
  • Julie Greensmith;Uwe Aickelin;Steve Cayzer

  • Affiliations:
  • ASAP, School of Computer Science and IT, University of Nottingham, Nottingham, UK;ASAP, School of Computer Science and IT, University of Nottingham, Nottingham, UK;Hewlett-Packard Labs plc, Bristol, UK

  • Venue:
  • ICARIS'05 Proceedings of the 4th international conference on Artificial Immune Systems
  • Year:
  • 2005

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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.