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Research on Threat Information Network Based on Link Prediction

Research on Threat Information Network Based on Link Prediction

Jin Du, Feng Yuan, Liping Ding, Guangxuan Chen, Xuehua Liu
Copyright: © 2021 |Volume: 13 |Issue: 2 |Pages: 9
ISSN: 1941-6210|EISSN: 1941-6229|EISBN13: 9781799860358|DOI: 10.4018/IJDCF.2021030106
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MLA

Du, Jin, et al. "Research on Threat Information Network Based on Link Prediction." IJDCF vol.13, no.2 2021: pp.94-102. http://doi.org/10.4018/IJDCF.2021030106

APA

Du, J., Yuan, F., Ding, L., Chen, G., & Liu, X. (2021). Research on Threat Information Network Based on Link Prediction. International Journal of Digital Crime and Forensics (IJDCF), 13(2), 94-102. http://doi.org/10.4018/IJDCF.2021030106

Chicago

Du, Jin, et al. "Research on Threat Information Network Based on Link Prediction," International Journal of Digital Crime and Forensics (IJDCF) 13, no.2: 94-102. http://doi.org/10.4018/IJDCF.2021030106

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Abstract

The study of complex networks is to discover the characteristics of these connections and to discover the nature of the system between them. Link prediction method is a classic in the study of complex networks. It ca not only reflect the relationship between the node similarity. More can be estimated through the edge, which reveals the intrinsic factors of network evolution, namely the network evolution mechanism. Threat information network is the evolution and development of the network. The introduction of such a complex network of interdisciplinary approach is an innovative research perspective to observe that the threat intelligence occurs. The characteristics of the network show, at the same time, also can predict what will happen. The evolution of the network for network security situational awareness of the research provides a new approach.