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

Volume

1

fYear

2009

fDate

15-17 May 2009

Firstpage

472

Lastpage

475

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Technology and Applications, 2009. IFITA '09. International Forum on

Conference_Location

Chengdu

Print_ISBN

978-0-7695-3600-2

Type

conf

DOI

10.1109/IFITA.2009.487

Filename

5231663