Abstract
The mis-configuration investigation is an important field in the security of cloud computing. However, the common method of investigating mis-configuration is a post-processing way. In order to find errors in the process of the cloud service management timely, we analyze the relationship between indicators of the cloud computing and locations of configuration items in this paper. According to this relationship, we construct a solution model based on the fuzzy pattern recognition. The lattice degree of nearness is used to determined locations of the mis-configuration. We further test the validity and accuracy of the model under the cloud simulation environment. The results show that the model is more effective and accurate to find the location of the mis-configuration rapidly.
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