Affiliations: School of Computer and Communication, Hunan University of Technology, Zhuzhou, Hunan, China
Correspondence:
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Corresponding author: Zhicheng Wen, School of Computer and Communication, Hunan University of Technology, Zhuzhou 412007, Hunan, China. Tel.: +86 15873372746; E-mail:[email protected]
Abstract: Concerning the problems that abnormal detection of
network security situation is not easy to be operated with high time and
spatial complexity, a quantitative method about hypothesis test has been
proposed by acquiring a set of observation samples. Firstly, it can generate
network security situation by inference rule from Bayesian network. Then, it
can detect whether network security situation is abnormal or not by
hypothesis test method, which can forecast the trend of network security
situation in future. Thus, it can provide a reliable basis for
administrators to make decisions and defensive measures. Finally, taking
full use of the simulation data, network abnormal detection algorithm of
security situation is verified and the results show that the method is
correct and feasible.
