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Pacific-Asia Workshop on Computational Intelligence and Industrial Application, IEEE (2008)
Dec. 19, 2008 to Dec. 20, 2008
ISBN: 978-0-7695-3490-9
pp: 502-506
ABSTRACT
As the core of Cyberspace Situational Awareness whichis the the future development direction of network management, Network Situation Assessment (NSA) can integrate unit network managements, alter the current complexion that each function unit works in an independent state, provide the comprehensive macroscopic view of network operation status, strengthen the comprehension and control of network, and reducethe burden on administrators. This paper focuses on the characteristics and requirements of network and introduces Rough Set Theory (RST) which has the superiority in machine learning, dealing with massivere dundancy information, feature selection, etc. After giving the formal definition of NSA knowledge system, we establish NSA method based on RST, and then discuss data discretization, situation factor selection, assessment rules design and other techniques in detail. The experiment results on real data set NLANR demonstratethe efficiency, effectiveness and scalability.
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CITATION

Q. Zhang, Y. Zhuo and Z. Gong, "Network Situation Assessment Based on RST," 2008 Pacific-Asia Workshop on Computational Intelligence and Industrial Application. PACIIA 2008(PACIIA), Wuhan, 2008, pp. 502-506.
doi:10.1109/PACIIA.2008.133
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