Title :
Research on Network Security Situation Awareness Technology Based on Artificial Immunity System
Author :
Nian, Liu ; Diangang, Wang ; Xuemei, Huang ; Sunjun, Liu ; Kui, Zhao
Author_Institution :
Coll. of Comput. Sci., Sichuan Univ., Chengdu, China
Abstract :
With the applying of artificial immune technology in the field of network security situation awareness, this article puts forward a new immune network security situation awareness model to enable self-learning and self-adapting of network system, and increase its immunity and viability. When network is under attack, it can find out the current network security situation and future trend in an all-around way, provide grounds for reasonable and accurate response to guarantee the usability of system.
Keywords :
artificial immune systems; mobile computing; self-adjusting systems; telecommunication security; unsupervised learning; artificial immunity system; immune network security situation awareness; network attack; network system; network viability; self-adapting; self-learning; system usability; Application software; Cognition; Computer security; Data security; Educational institutions; Immune system; Information security; Information technology; Intrusion detection; Real time systems; artificial immunity; intrusion detection; network security; network security situation;
Conference_Titel :
Information Technology and Applications, 2009. IFITA '09. International Forum on
Conference_Location :
Chengdu
Print_ISBN :
978-0-7695-3600-2
DOI :
10.1109/IFITA.2009.487
