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Yuan, L., Bai, Y., Xing, Z., et al. (2021) Predicting Entity Relations Across Different Security Databases by Using Graph Attention Network. Proceeding of the 2021 IEEE 45th Annual Computers, Software, and Applications Conference, Madrid, Spain, 834-843. https://doi.org/10.1109/COMPSAC51774.2021.00116

has been cited by the following article:

• TITLE: Research and Design of Railway Security Vulnerability Management System

  AUTHORS: Dedong Zhang, Wenge Guo, Hongwei Wang, Lirong Hao

  KEYWORDS: Security Vulnerability, Vulnerability Information Management, Vulnera-bility Lifecycle, Vulnerability Connection

  JOURNAL NAME: Journal of Computer and Communications, Vol.13 No.7, July 30, 2025

  ABSTRACT: Based on both domestic and overseas research on vulnerability management, considering the actual pain point and needs of railway enterprises, a security vulnerability management system was proposed. The system has achieved the collection, filtering, and standardization of vulnerability information, as well as the management of the mapping relationship between vulnerabilities and assets. The article analyzes and designs the construction principles, objectives, overall architecture, and functional structure of the system. The system can be applied to security warning and vulnerability management, and has brought satisfactory effects in practice.