Danger Theory: A new approach in big data analysis

Danger Theory is a novel computing model inspired by biological immune systems which is some different with the traditional Artificial Immune Systems, especially the self non-self model. The Danger Theory concerns the potential dangers (which presents like the danger signals) rather than non-self pathogens, so the new computing model introduced into information analysis can take a new approach for big data processing on key features and properties choosing. The authors introduce some works on Danger Theory about the definition of danger, and the capture of danger signals, which could be helpful to increase the abilities of self-learning and intelligence in different applications.