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Many multivariate Gaussianity-based techniques for identifying causal networks of observed variables have been proposed. These methods have several problems such that they cannot uniquely identify the causal networks without any prior knowledge. To alleviate this problem, a non-Gaussianity-based identification method LiNGAM was proposed. Though the LiNGAM potentially identifies a unique causal network...
An SNMP MIB oriented approach based on two-tier GCT is presented in this paper in order to detect attack before the security of target was damaged. According to the abnormal behavior constructed on target, GCT is executed first to find preliminary attacking variables which has whole causality with abnormal variable in network behavior. Depending on behavior features extracted from abnormal behavior,...
The main achievement in future analysis is to acquire causality, transparency and accuracy utilizing human-machine collaboration. We propose a process of close interaction between humans and machines for system modeling, which is backed up by a method to combine human expert knowledge with the performance of information criteria. This approach not only promises the best accuracy but also interdisciplinary...
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