Research on the Optimal Strategy of Open Data Subjects in the Deterministic Data Security Policy Environment of Urban Governance System
Publication: ICCREM 2023
ABSTRACT
This paper analyses the lack of systematic research on “big data policy, public security governance in the era of big data, open data, data opening and its policies” in China’s urban governance system based on the formulation of data security policies in the process of data opening by local governments in China, and the current situation of relevant research on big data and its policies in China. The study will also examine the lack of systematic research on “big data policies, public safety governance in the era of big data, open data, and data opening and its policies” in China’s urban governance system. On this basis, starting from the deterministic data security policy environment, the game model of open data subjects is constructed to analyze the behavioral choice strategies of open data subjects in the deterministic data security policy environment, providing a scientific basis for the regulation of open data policy in the deterministic data security policy environment in the urban governance system, and also providing a decision path for information security, national open data, and data security policy in the era of big data.
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Information & Authors
Information
Published In
ICCREM 2023
Pages: 916 - 922
History
Published online: Nov 30, 2023
ASCE Technical Topics:
- Analysis (by type)
- Big data
- Business management
- Computer networks
- Computing in civil engineering
- Cyber security
- Data analysis
- Engineering fundamentals
- Government
- Infrastructure
- Local government
- Methodology (by type)
- Organizations
- Practice and Profession
- Public administration
- Public health and safety
- Public policy
- Research methods (by type)
- System analysis
- Urban and regional development
- Urban areas
Authors
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