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A Visual Analysis of Research on Information Security Risk by Using CiteSpace
Li
,
Xiaotong
;
Li
, Hua
IEEE access, 2018, Vol.6, p.63243-63257
[Periódico revisado por pares]
Piscataway: IEEE
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Título:
A Visual Analysis of Research on Information Security Risk by Using CiteSpace
Autor:
Li
,
Xiaotong
;
Li
, Hua
Assuntos:
CiteSpace
;
Clustering
;
Data visualization
;
information security risk
;
knowledge mapping
;
Risk
;
Risk management
;
Security
;
Security management
;
Software
;
Statistical methods
;
Visualization
;
Web of Science
É parte de:
IEEE access, 2018, Vol.6, p.63243-63257
Descrição:
The security of information issue has become a global problem and has risen the concerns of both researchers and practitioners. When security incidents occur, there is a risk that national military secrets or confidential information of corporations will leak out and cause serious damages to the collective. This paper is aimed to explore the knowledge structure, development, and the future trend of information security area by providing a comprehensive review of the present information security risk (ISR) literature. The visualization analysis was conducted on journal literatures from the Web of Science, IEEE, ACM, and Scopus database, and the results were mapped into the I-model. According to 2748 articles, evaluation methods, e.g., frequency statistics, clustering coefficient, and centrality calculation, are employed to analyze all of the interrelated matrixes that are supported by CiteSpace. Some useful outcomes of a variety of objectives are shown under a significant level, such as author, country/territory, cluster, institute, as well as reference. A synthetical analysis has demonstrated the future research trend on ISR. As for researchers and practitioners, this paper suggests an analysis of integrated visualization in terms of the knowledge and innovation based on the area of ISR.
Editor:
Piscataway: IEEE
Idioma:
Inglês
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