Network attack detection method for CPS of active distribution network with renewable energy based on FP-Growth algorithm
In order to effectively analyze and identify the cyber physical system(CPS)status of active distribution net-work,a network attack detection method based on FP-Growth algorithm for active distribution network cyber physi-cal system was proposed.Firstly,the active distribution network control model considering network attack and the im-pact mechanism of CPS network attack were analyzed,and the raw data was obtained by monitoring the CPS informa-tion side and physical side of the active distribution network through the real-time simulation platform.Then,the data discretization rules were formulated through the rated voltage and current values,and the original data were dis-cretized and quantized according to the rules to generate event sequences.On this basis,the FP-Growth algorithm was used to mine the frequent items and strong correlations of abnormal signals in historical data,and new attack catego-ries and fault points were identified through the existing frequent sequence features.The detection of CPS network at-tack on active distribution network was realized.Finally,the feasibility and effectiveness of the proposed method were verified by a simulation experiment.
active distribution networkcyber physical systemnetwork attackFP-Growth algorithmevent sequence
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