DocumentCode :
3074646
Title :
Intrusion Detection System Research Based on Data Mining for IPv6
Author :
Jun, Chen ; Xiaowei, Chen
Author_Institution :
Coll. of Comput. Sci. & Inf., Guizhou Univ., Guiyang, China
Volume :
1
fYear :
2010
fDate :
16-18 July 2010
Firstpage :
384
Lastpage :
388
Abstract :
IPv6 will inevitably take the place of IPv4 as the next generation of the Internet Protocol. Despite IPv6 has better security than IPv4, but there still have some security issues. So it is an urgent problem to requirement of IDS for IPv6 networks. Many intelligent information processing methods, data mining technology and so on have been applied to improve detection accuracy for IPv4 network. At first IPv6 security issues has been analysis in this paper, secondly discussed the IPv6 intrusion detection model, then we in accordance with such a model present an intrusion detection model realization for IPv6 network, and we propose a strategy for the system achieve and optimization. The system can work well for intrusion detection for IPv6 network.
Keywords :
IP networks; Internet; computer network security; cryptographic protocols; data mining; IPv6; Internet protocol; data mining; information processing; intrusion detection system; Accuracy; Association rules; Internet; Intrusion detection; Protocols; IPv6; Libpcap; data analysis; data mining;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Technology and Applications (IFITA), 2010 International Forum on
Conference_Location :
Kunming
Print_ISBN :
978-1-4244-7621-3
Electronic_ISBN :
978-1-4244-7622-0
Type :
conf
DOI :
10.1109/IFITA.2010.89
Filename :
5635013
Link To Document :
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