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fbtwitterlinkedinvimeoflicker grey 14rssslideshare1
Twycross, Jamie; Aickelin, Uwe (2010)
Publisher: Elsevier
Languages: English
Types: Article
Subjects: Computer Science - Artificial Intelligence, Computer Science - Neural and Evolutionary Computing
Biologically-inspired methods such as evolutionary algorithms and neural networks are proving useful in\ud the field of information fusion. Artificial immune systems (AISs) are a biologically-inspired approach which take inspiration from the biological immune system. Interestingly, recent research has shown how AISs which use multi-level information sources as input data can be used to build effective algorithms for realtime computer intrusion detection. This research is based on biological information fusion mechanisms used by the human immune system and as such might be of interest to the information\ud fusion community. The aim of this paper is to present a summary of some of the biological information fusion mechanisms seen in the human immune system, and of how these mechanisms have been implemented as AISs.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

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