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