Research on the Application of Acoustic Sensing Technology in the Network Security Vulnerability Identification of Electric Power System
In response to the increasingly prominent security issues in power system networks,this paper investigates the application of acoustic sensing technology for network security vulnerability identification.By proposing a technical solution that includes anomaly activity recognition based on acoustic feature extraction,attack source localization,and attack type determination using a multi-scale Convolutional Neural Network(CNN)model,and through experimental validation,the results demonstrate that this method can effectively enhance the network security protection level of power systems.
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