Abstract

With rapid development of network and information technology, countries and individuals are increasingly relying on information networks. Cybersecurity threats are becoming increasingly prominent. In order to fully exploit the great benefits from the development of informatization, we must strengthen the protection of cyberspace security by discovering and understanding the situation of cyberspace threat sources. This paper established a vulnerability-centric multi-dimensional threat source characterization modeling and classification system, carried out the description and discovery on cyberspace threat sources. Based on the community discovery algorithm, this paper performed threat source correlation analysis and real-time tracking, and established a prototype system, built a comprehensive cyberspace threat source data set and formed a cyberspace threat source ecosystem, which proved to be helpful in the research and judgment of various threats in cyberspace, and effective in the predictive and early warning of cybersecurity risks.

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