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The Dendritic Cell Algorithm Julie Greensmith
 

Summary: The Dendritic Cell Algorithm
Julie Greensmith
Thesis submitted to the University of Nottingham
for the degree of Doctor of Philosophy
October 2007
Abstract
Artificial immune systems are a collection of algorithms inspired by the hu-
man immune system. Over the past 15 years, extensive research has been per-
formed regarding the application of artificial immune systems to computer secu-
rity. However, existing immune-inspired techniques have not performed as well
as expected when applied to the detection of intruders in computer systems. In
this thesis the development of the Dendritic Cell Algorithm is described. This is
a novel immune-inspired algorithm based on the function of the dendritic cells of
the human immune system. In nature, dendritic cells function as natural anomaly
detection agents, instructing the immune system to respond if stress or damage
is detected. Dendritic cells are a crucial cell in the detection and combination of
`signals' which provide the immune system with a sense of context. The Den-
dritic Cell Algorithm is based on an abstract model of dendritic cell behaviour,
with the abstraction process performed in close collaboration with immunolo-
gists. This algorithm consists of components based on the key properties of

  

Source: Aickelin, Uwe - School of Computer Science, University of Nottingham

 

Collections: Computer Technologies and Information Sciences