Research on Modeling Technology for the Internet Routing System Based on Knowledge Graph

The security and reliability of the Internet routing systems are of great significance for cybersecurity. To accurately depict the behavioral characteristics of the routing system, this paper proposes a modeling technique for the Internet routing systems based on knowledge graphs. By collecting and analyzing multi-source topology and routing data, it intricately describes complex associations and correspondences among ASes, prefixes, IPs, routers, geographical locations, and other dimensions. By querying and analyzing these relationships, the modeling technique infers implicit features within the routing system, or RPKI system. This inference, in turn, provides valuable insights into key node identification, prefix hijacking detection, and analysis of conflicts between route announcement and ROA authentication.