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CORR
2010
Springer

Information Fusion for Anomaly Detection with the Dendritic Cell Algorithm

9 years 2 days ago
Information Fusion for Anomaly Detection with the Dendritic Cell Algorithm
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 Algorithm is successful at detecting port scans. Key words: Dendritic cells, data fusion, immune system, anomaly detection, port scans.
Julie Greensmith, Uwe Aickelin, Gianni Tedesco
Added 09 Dec 2010
Updated 09 Dec 2010
Type Journal
Year 2010
Where CORR
Authors Julie Greensmith, Uwe Aickelin, Gianni Tedesco
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