Research on the Security Situation Awareness Method of Ubiquitous Power Internet of Things Network Based on Artificial Intelligence

In order to accurately determine the security situation awareness of the power system IoT network, this paper proposes an artificial intelligence-based security situation awareness
^[1]
method, which abstracts the perception problem so that it can be applied to actual scenarios. Input the records of the actual field monitoring equipment as the data source to the classifier to obtain the perceptual results, and then use the processed results as the training input of the RBF neural network
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to find out the mapping relationship with the network situation value, thereby quantifying the system’s performance Security posture. Finally, the KDD Cup99 data set
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can be compared with the attack data of the power information network to verify the reliability of the proposed method in the network security situation analysis.