DocumentCode :
502916
Title :
The application of the detection and data mining algorithm optimization in Honeynet
Author :
Nanping, Dong ; Guanling, Zhou ; Yuping, Wang
Author_Institution :
Coll. of Autom., Beijing Union Univ., Beijing, China
Volume :
1
fYear :
2009
fDate :
8-9 Aug. 2009
Firstpage :
115
Lastpage :
118
Abstract :
A technical scheme, which can properly arrange IDS and optimally apply the algorithms of detection and data mining to the Honeynet environment, is proposed in the building automation system completed by the author recently. In this specific environment, the position of IDS is deployed reasonably and the anomaly and misuse detection algorithm of IDS is designed and selected optimally. Meanwhile, the misuse detection rules are updated dynamically with the combination of data-mining association rule algorithm. The design makes the classical and mature algorithms display their technical characteristics and advantages to the largest extent in the project and enable the honeynet to protect the internal control network as expected.
Keywords :
building management systems; control system synthesis; data mining; optimal control; optimisation; security of data; IDS algorithm; building automation system; data mining association rule algorithm; honeynet environment; information security technology; internal control network; intrusion detection system; misuse detection algorithm; optimal design; optimization; Algorithm design and analysis; Automatic control; Buildings; Control systems; Data mining; Design automation; Detection algorithms; Information security; Intrusion detection; Protection; association rules; detection algorithm; honeynet; optimal design;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computing, Communication, Control, and Management, 2009. CCCM 2009. ISECS International Colloquium on
Conference_Location :
Sanya
Print_ISBN :
978-1-4244-4247-8
Type :
conf
DOI :
10.1109/CCCM.2009.5268138
Filename :
5268138
Link To Document :
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