The deterministic Dendritic Cell Algorithm
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 diffi...
| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Published: |
2008
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| Online Access: | https://eprints.nottingham.ac.uk/986/ |
| _version_ | 1848790520236605440 |
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| author | Greensmith, Julie Aickelin, Uwe |
| author_facet | Greensmith, Julie Aickelin, Uwe |
| author_sort | Greensmith, Julie |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T18:13:55Z |
| format | Conference or Workshop Item |
| id | nottingham-986 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T18:13:55Z |
| publishDate | 2008 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-9862020-05-04T20:27:44Z https://eprints.nottingham.ac.uk/986/ The deterministic Dendritic Cell Algorithm Greensmith, Julie Aickelin, Uwe 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. 2008 Conference or Workshop Item PeerReviewed Greensmith, Julie and Aickelin, Uwe (2008) The deterministic Dendritic Cell Algorithm. In: 7th International Conference on Artificial Immune Systems (ICARIS2008), Phuket, Thailand. http://ima.ac.uk/papers/greensmith2008a.pdf |
| spellingShingle | Greensmith, Julie Aickelin, Uwe The deterministic Dendritic Cell Algorithm |
| title | The deterministic Dendritic Cell Algorithm |
| title_full | The deterministic Dendritic Cell Algorithm |
| title_fullStr | The deterministic Dendritic Cell Algorithm |
| title_full_unstemmed | The deterministic Dendritic Cell Algorithm |
| title_short | The deterministic Dendritic Cell Algorithm |
| title_sort | deterministic dendritic cell algorithm |
| url | https://eprints.nottingham.ac.uk/986/ https://eprints.nottingham.ac.uk/986/ |