DocumentCode :
2194711
Title :
Research on a High Efficient Intrusion Prevention Model
Author :
Zeng Xiao-Hui ; Luo Wen-lang ; Zeng Jin-tao ; Chen Yan-ping ; Jin Shi-yao
Author_Institution :
Dept. of Comput. Sci. & Technol., Jinggangshan Univ., Ji´an, China
fYear :
2010
fDate :
2-4 April 2010
Firstpage :
720
Lastpage :
723
Abstract :
Ordinary network cluster server systems have no ability to defense against any network intrusions and attacks, which reduce the availability of those systems or even result in the whole system completely breaking down. Based on our patented technologies, a high efficient intrusion protection model is proposed, which adopts the zero-copy technology to improve the speed of processing network packets; moreover, adaptive learning mechanism is utilized to defense against a variety of unknown or deformation network intrusions and attacks. According to the high efficient intrusion protection model, an intrusion prevention module are designed and implemented for our automatic self-allocating cluster server system. The experiment results show the intrusion prevention module can improve the whole system´s protection capability against many kinds of network intrusions and attacks; what´s more, the whole system´s availability is enhanced evidently.
Keywords :
computer network security; workstation clusters; adaptive learning; automatic self-allocating cluster server system; high efficient intrusion prevention model; intrusion prevention module; intrusion protection model; network attacks; network cluster server systems; network intrusions; patented technologies; zero-copy technology; Availability; Computer buffers; Computer science; Computer security; Information security; Information technology; Intelligent networks; Kernel; Network servers; Protection; distributed scheduling; intrusion prevention; network attack; network intrusion; network security;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Information Technology and Security Informatics (IITSI), 2010 Third International Symposium on
Conference_Location :
Jinggangshan
Print_ISBN :
978-1-4244-6730-3
Electronic_ISBN :
978-1-4244-6743-3
Type :
conf
DOI :
10.1109/IITSI.2010.132
Filename :
5453701
Link To Document :
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