Title :
An immune based method for harmful network text information discovery
Author_Institution :
Sch. of Comput. Sci., Sichuan Univ., Chengdu, China
Abstract :
Inspired from immune system, an immune based method for harmful network text information discovery is presented. In the presented method, the network text informations are treated as antigens, where the lymphocytes are processed as the harmful network text information detectors. The training process of detectors is implemented by simulating the marrow model of human immune system, and the learning ability of detectors is provided by simulating the lifecycle of lymphocytes. Therefore, the harmful network text information detection is thus presented by simulating the immune surveillance of human immune system.
Keywords :
artificial immune systems; learning (artificial intelligence); security of data; text analysis; antigens; detectors learning ability; harmful network text information discovery; human immune system; immune based method; lymphocyte lifecycle; marrow model; Computer architecture; Computers; Detectors; Immune system; Internet; Monitoring; Privacy; artificial immune system; clone selection; harmful network text;
Conference_Titel :
Mechanic Automation and Control Engineering (MACE), 2011 Second International Conference on
Conference_Location :
Hohhot
Print_ISBN :
978-1-4244-9436-1
DOI :
10.1109/MACE.2011.5987837
