Journal article

Information fusion for anomaly detection with the dendritic cell algorithm

Julie Greensmith, Uwe Aickelin, Gianni Tedesco

INFORMATION FUSION | ELSEVIER SCIENCE BV | Published : 2010

Abstract

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 algorit..

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University of Melbourne Researchers

Grants

Awarded by EPSRC


Awarded by Engineering and Physical Sciences Research Council


Funding Acknowledgements

This project is supported by the EPSRC, Grant Number GR/S47809/01. DC photographs provided by Dr. Julie McLeod and colleagues at UWE, UK. Graphic design by Mark Hammonds.