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The deterministic Dendritic Cell Algorithm

Greensmith, Julie; Aickelin, Uwe

Authors

Julie Greensmith jqg@cs.nott.ac.uk

Uwe Aickelin uwe.aickelin@nottingham.ac.uk



Abstract

The Dendritic Cell Algorithm is an immune-inspired algorithm originally based on the function of natural dendritic cells. The original instantiation of the algorithm is a highly stochastic algorithm. While the performance of the algorithm is good when applied to large real-time datasets, it is difficult to analyse due to the number of random-based elements. In this paper a deterministic version of the algorithm is proposed, implemented and tested using a port scan dataset to provide a controllable system. This version consists of a controllable amount of parameters, which are experimented with in this paper. In addition the effects are examined of the use of time windows and variation on the number of cells, both which are shown to influence the algorithm. Finally a novel metric for the assessment of the algorithms output is introduced and proves to be a more sensitive metric than the metric used with the original Dendritic Cell Algorithm.

Peer Reviewed Peer Reviewed
APA6 Citation Greensmith, J., & Aickelin, U. The deterministic Dendritic Cell Algorithm
Publisher URL http://ima.ac.uk/papers/greensmith2008a.pdf
Copyright Statement Copyright information regarding this work can be found at the following address: http://eprints.nottingh.../end_user_agreement.pdf

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greensmith2008a.pdf (157 Kb)
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Copyright Statement
Copyright information regarding this work can be found at the following address: http://eprints.nottingham.ac.uk/end_user_agreement.pdf





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