Year: 2025
Type: conference-paper
Abstract: The vulnerability information of computer network links is characterized by complex types, wide sources and large quantities, which makes it particularly difficult to judge the threat of such vulnerabilities. Knowledge graph technology has data integration and unified representation characteristics, can be unified structured integration of complex characteristics of the vulnerability information, so proposed based on knowledge graph technology of computer network link vulnerability detection method. We collect vulnerability information from various data sources of computer network links, extract the vulnerability entity knowledge and relationship knowledge, and construct a network link vulnerability knowledge graph. Use the convolutional neural network model to learn the vulnerability knowledge in the knowledge graph, and realize network link vulnerability detection through the trained model.
Author: Li Ma
Institution: Wuhan Donghu University
Language: English
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4413845129