Threat Analysis of IoT Security Knowledge Graph Based on Confidence

The identification, analysis and application of vulnerabilities and weaknesses exposed after attacks on devices in the IoT security field are imminent It is very important to combine the concepts of IoT security and knowledge graph to build the IoT security knowledge base and apply it to the defense and attack of IoT devices. From this we propose an ontology to build an IoT security knowledge graph. And it carries on the method of knowledge extraction and threat analysis. IoT security knowledge graph is extracted from several widely used knowledge databases and stored in the graph database. First, build the ontology of the IoT security field based on the five-tuple model. Secondly, natural language processing technique is used to process and analyze IoT security events. The extracted entity will be linked to the IoT security knowledge graph and added as new knowledge. Finally, based on the confidence, conduct horizontal reasoning and analysis on the IoT security knowledge graph. And present sample cases to demonstrate the practical usage of the method. Realize the gradual intelligence of threat analysis in the field of IoT security.