Design And Implementation Of Mapping System From Autonomous Systems To Organizations Based On Knowledge Graph

Autonomous System(AS)is the basic unit of cyberspace and the carrier of information resources.It forms an independent and autonomous Internet through the Border Gateway Protocol(BGP)and routers.Different dimensions of autonomous system topology reflect different perspectives and governance relationships in cyberspace.Each AS has its own specific organization.Different ASes may belong to different organizations or be managed by the same organization.Different from the traditional AS level network topology based on the degree of nodes and the business relationship between AS,the institutional topology of AS reflects the alliance governance relationship of ASes,forming an ecosystem between autonomous systems.This ecosystem is important to research the detection of inter domain routing attack,network space security boundary division and route security situation assessment.At present,the mapping method of AS-to-organization is limited to individual attributes,and the definition of organization is limited to a single business entity.There are still some misjudgments and omissions in the AS ownership of transnational organizations and umbrella organizations.In addition,there are many kinds of registration agencies of AS information on the Internet,and there are data ambiguity and inconsistency,which brings some difficulties to the mapping from AS to organization.In this paper,we introduce the knowledge graph and describe the AS entity and its attribute relationship with the graph model,and obtain the organizational mapping relationship of the AS through the entity similarity calculation,and realize a mapping system from ASes to organizations and query system based on the knowledge graph.This project is mainly divided into the following three parts:first,constructing the AS knowledge graph,covering AS,country,person,IP address and other different dimensions and levels of knowledge,through ontology construction,knowledge extraction and mapping,to obtain the AS knowledge graph represented by Resource Description Framework(RDF);second,calculating the attribute similarity through the diversity of AS attributes and geting the result of entity association in AS.Finally,formulating reasoning rules to obtain the mapping relationship from ASes to organizations by Jena,visualizing the graph structure and realizing the query function for AS knowledge graph.The experimental results show that the mapping system designed and implemented in this paper can query the AS multi-dimensional knowledge information intuitively and comprehensively,and find the association relationship between AS belonging to the same organization more effectively.