DocumentCode :
530290
Title :
ISM-based architecture for network security system
Author :
Ma, Zhanfei
Author_Institution :
Baotou Teachers Coll., Inner Mongolia Univ. of Sci. & Technol., Baotou, China
Volume :
1
fYear :
2010
fDate :
17-19 Sept. 2010
Abstract :
Traditional network security system and technology lack self-adaptation, intelligentization and the ability of parallel distributed processing. Inspired by the intelligence recognition capability of Immune-SoftMan (ISM), a novel distributed architecture which based on multi-ISM alliance for network security system is thus proposed. The component functions are put up and component collaborations in the network are presented here. This system adopts new analysis schemes to aim to reduce the relativity of each ISM component as far as possible and avoid the single point failure caused by the single central analyzer. Compared with traditional intrusion detection systems (IDSs), this system is a more adaptive and efficient system. It enables member sites of ISM components in the same trust community or different ones to forewarn attacks cooperatively, and possesses higher detection rate, load balancing and better self-adaptability. By analyzing these mechanisms, it aims to guide the future research on cooperation, negotiation and coordination of multi-ISM system under open, heterogeneous and dynamic network environment.
Keywords :
computer network security; ISM based architecture; Immune SoftMan; distributed architecture; intrusion detection system; load balancing; network security system; Biology; Book reviews; Computational modeling; Lead; Organizing; SGML; XML; Distributed architecture; ISM; Intrusion detection system; Negotiation control form; Network security;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Educational and Information Technology (ICEIT), 2010 International Conference on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-8033-3
Electronic_ISBN :
978-1-4244-8035-7
Type :
conf
DOI :
10.1109/ICEIT.2010.5607649
Filename :
5607649
Link To Document :
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