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Journal of Scientific Information Research

Keywords

science and technology security, system vulnerability, sci-tech security risks, monitoring and early-warning, security early-warning

Abstract

[Purpose/significance] From the perspective of system vulnerability, this study aims to construct a dynamic monitoring and early-warning indicator system that systematically reflects science and technology security risks, so as to enhance the foresight and accuracy of risk perception and early warning. [Method/process] Introducing the system vulnerability theory and based on the "exposure-sensitivity-adaptive capacity" analytical framework, science and technology security risks are categorized into three dimensions: technological entity, actor behavior, and institutional constraints. Risk factors within each dimension were identified, leading to the selection of 9 secondary indicators. Innovatively, these indicators are classified into two types: continuous and threshold-triggered. A "one-vote veto" mechanism is introduced, which constructs an indicator system capable of hierarchically monitoring both gradual "quantitative change" risks and sudden "qualitative change" risks. [Result/conclusion] The research shows that this framework not only provides a systematic theoretical perspective for comprehensively understanding science and technology security risks, but also clarifies the data sources and specific measurement content of each indicator at the application level, ultimately forming an operable monitoring tool.

First Page

98

Last Page

105

Submission Date

27-Sep-2025

Revision Date

30-Oct-2025

Acceptance Date

1-Dec-2025

Published Date

1-Jul-2026

Reference

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Digital Object Identifier (DOI)

10.19809/j.cnki.kjqbyj.2026.03.010

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