Network Situation Features Extraction Method of Computer Network Based on Knowledge Graph
Liqiong Deng, Yifei Wu, Jie-Yu Wang, Bo Wang · 2022 3rd International Conference on Computer Vision, Image and Deep Learning & International Conference on Computer Engineering and Applications (CVIDL & ICCEA) · 2022
A feature extraction method of network situation based on knowledge graph is proposed for network situation assessment. The knowledge graph of network flow is constructed by knowledge graph technology. Combined with graph algorithm and complex network feature analysis method, different types of node features and overall network features in network situation are extracted, so as to obtain the importance ranking of nodes and the overall evaluation value of network situation. The experimental results show that the algorithm can accurately locate the key node information in the computer network and scientifically describe its network connection relationship, which provides an effective means for the network to achieve more efficient management and maintenance.