基于链路预测的威胁信息网络研究

IF 0.6 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS International Journal of Digital Crime and Forensics Pub Date : 2021-03-01 DOI:10.4018/IJDCF.2021030106
Jin Du, Feng Yuan, Liping Ding, Guangxuan Chen, Xuehua Liu
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引用次数: 1

摘要

对复杂网络的研究就是要发现这些连接的特征,发现它们之间的系统的本质。链路预测方法是研究复杂网络的经典方法。它不仅可以反映节点之间的相似度关系。通过边缘可以估计出更多的信息,揭示了网络演化的内在因素,即网络演化机制。威胁信息网络是网络的演变和发展。这种复杂网络跨学科方法的引入,是一种观察威胁情报发生的创新研究视角。网络的特点显示,同时,也可以预测将会发生什么。网络的演化为网络安全态势感知的研究提供了一种新的途径。
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Research on Threat Information Network Based on Link Prediction
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.
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来源期刊
International Journal of Digital Crime and Forensics
International Journal of Digital Crime and Forensics COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-
CiteScore
2.70
自引率
0.00%
发文量
15
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