Meijiao Xu, Wei Ji, and Wei Zhang
Fuzzy logic, power monitoring, host, the whole process of operation,risk detection, index
To realise the comprehensive dynamic detection of the risk of the whole process of power monitoring host operation, this study investigates a fuzzy logic-based risk detection method for the whole process of power monitoring host operation. The risk index design method, based on improved hierarchical analysis, is employed to develop threat probability and impact indices encompassing the complete host operation process. Subsequently, a risk event sequence clustering method utilising K-means clustering is applied to identify the sequence of risk events covered by these indices throughout the host operation process. According to the mined event sequences, a risk reasoning model for the entire host operation process is developed using a fuzzy logic-based approach, which combines aļ¬liation degree and fuzzy rules to deduce risks in power monitoring and control. The risk inference model infers the risk intensity of the event sequences, thereby completing the risk detection for the entire host operation process. Experimental results demonstrate that this method accurately detects intrusion risks from single and mixed attacks throughout the power monitoring host operation process, with a risk detection delay of only 2 s, ensuring timely detection. In the clustering of risk event sequences, the clustering value for sequences under the threat probability index is set to 25, while the value of clustering the dangerous event sequences under the threat impact index is set to 20.
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