Title :
A Novel Anomaly Detection Algorithm
Author_Institution :
Coll. of Comput. Sci. & Technol., Wuhan Univ. of Sci. & Technol., Wuhan, China
Abstract :
A novel anomaly detection algorithm is proposed and based on the danger model. The danger model is built on a sensitive tissue (ST) which consists of a population of sensitive cells (SCs) that are abstracted from computer system, and such cells are very sensitive to cellular damages. ST plays a role as an interface between problems and immune cells for danger recognition and estimation. This novel anomaly detection algorithm is different from the existing ones for the introduction to a novel component-sensitive tissue in the danger model.
Keywords :
artificial immune systems; security of data; anomaly detection; danger model; sensitive cell; sensitive tissue; Adaptive systems; Artificial immune systems; Biological system modeling; Computer security; Detection algorithms; Distributed control; Filtering algorithms; Humans; Immune system; Pathogens; anomaly detection; artificial immune system; danger theory; sensitive tissue;
Conference_Titel :
Computer and Communications Security, 2009. ICCCS '09. International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-0-7695-3906-5
Electronic_ISBN :
978-1-4244-5408-2
DOI :
10.1109/ICCCS.2009.15
