Title :
Situation Mining Analysis Based on Security Information
Author :
Guoqin Song ; Lu Kai ; Jianqiong Xiao
Author_Institution :
Dept. of Exp. Center, China West Normal Univ., Nanchong, China
Abstract :
This paper constructs a multilayer and dimensionality network security data set, and a hierarchical assessment process which is made up of atomic situation, host situation and network situation is established. Then the theory of self-information entropy is adopted to compute the occurring probability of atomic situation, using the method of weighted summation to analyze the situation of every layer. At last, the proposed assessment model and process are tested by the real network environment data.
Keywords :
data mining; entropy; probability; security of data; atomic situation probability; dimensionality network security data set; hierarchical assessment process; host situation; multilayer network security data set; network situation; security information; self-information entropy; situation mining analysis; weighted summation method; Atomic clocks; Availability; Data mining; Data models; Educational institutions; Security; Servers; atomic situation; data analysis; security information; security situation;
Conference_Titel :
Computational and Information Sciences (ICCIS), 2013 Fifth International Conference on
Conference_Location :
Shiyang
DOI :
10.1109/ICCIS.2013.212
