DocumentCode
2808587
Title
An immune based method for harmful network text information discovery
Author
Liu, Xiaojie
Author_Institution
Sch. of Comput. Sci., Sichuan Univ., Chengdu, China
fYear
2011
fDate
15-17 July 2011
Firstpage
3839
Lastpage
3842
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Mechanic Automation and Control Engineering (MACE), 2011 Second International Conference on
Conference_Location
Hohhot
Print_ISBN
978-1-4244-9436-1
Type
conf
DOI
10.1109/MACE.2011.5987837
Filename
5987837
Link To Document