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2010 National Conference of Higher Vocational and Technical Education on Computer Information (NCHVT 2010 E-BOOK)

Rizhao,China,12.4-12.5，2010

ISBN: 978-1-935068-31-0 Scientific Research Publishing, USA

E-Book 358pp Pub. Date: December 2010

Category: Social Sciences & Humanities

Price: $70

Title: A Model of Intrusion Detection Based on Data Mining in Campus Network
Source: 2010 National Conference of Higher Vocational and Technical Education on Computer Information (NCHVT 2010 E-BOOK) (pp 317-320)
Author(s): Bei Qi, Network Center, Shandong Institute of Light Industry, 250353, Jinan, China
Yun-feng Dong, Computing Center, Shandong Institute of Light Industry, 250353, Jinan, China
Abstract: In campus network, it is the precondition of network’s normal running that establishes the integrate network security system. Campus network mostly adopts the firewall technology to resist various network attack, but now, network security is threaten from inside and outside campus network, so the intrusion detection technology becomes the main defense measure that assists the firewall. Now, network intrusion detection has problem of high false alarm rate, we have adopted the method which combines the data mining and intrusion detection system together, incorporated the technology of network traffic monitoring and analysis. We propose a new model of intrusion detection based on data mining and network traffic analysis. The experiment result indicates this model can find many kinds of network intrusion behavior effectively and have higher intelligence and environment adaptability.
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