Business driven data cross border risk mechanism research
Existing research on data security risk mechanisms had not fully accounted for the unique formation causes and elements of cross-border data risks, limiting our understanding of their overall landscape and internal connections. In response, a business-driven approach was proposed to analyze cross-bo...
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| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | Chinese |
| Published: |
Editorial Department of Journal on Communications
2025-06-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2025105/ |
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| Summary: | Existing research on data security risk mechanisms had not fully accounted for the unique formation causes and elements of cross-border data risks, limiting our understanding of their overall landscape and internal connections. In response, a business-driven approach was proposed to analyze cross-border data risk mechanisms. Firstly, Petri nets were emploied to abstract business processes and collect process data. Then, relevant conceptual categories were extracted and mapped to the leaf nodes of an evolving network. A risk evolution network was constructed based on risk causation theory, and its correlation coefficients were analyzed to identify key risk elements and elucidate the formation and evolution processes of cross-border data risks. Questionnaire surveys and historical data analysis validate the research findings, showing alignment with survey statistics and historical risk drivers. Overall, the proposed research offers theoretical support for the quantitative assessment of cross-border data risks and provides a decision-making basis for their management. |
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| ISSN: | 1000-436X |