Research on network intelligent situational awareness for power fiber communication system

Abstract

To improve the sensing accuracy of the power fiber optic communication system, an intelligent sensing method of fiber optic network threat based on multi-information fusion is proposed. The architecture is composed of an information acquisition layer and a quantitative sensing layer. Multiple sensors are used to extract the multi-channel signal data of the optical fiber network. After the data is de-noised, the artificial neural network is used to implement multi-information fusion on the de-noised data. The data with the highest network security impact in the fusion information is extracted, and the information is transformed into the threat state through quantitative perception technology. After using the abstract ability to create the change process of the situation, through continuous reasoning, the complete situation of the network threat is displayed to realize the intelligent perception of the network threat. The experimental results show that the method has a high data fusion calculation detection rate and fusion rate, a low false alarm rate, and a strong data fusion calculation capability; it can effectively sense the threat potential of different networks, and the perception correct rate is always higher than 97%.