信息通信技术与政策

信息通信技术与政策

信息通信技术与政策 ›› 2019, Vol. 45 ›› Issue (10): 76-81.

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利用系统动力学理论探究大数据监管作用机理

Using system dynamics to analyze the mechanism of big data regulation

  

  • 出版日期:2019-10-15 发布日期:2020-11-20
  • 作者简介:
    刘扬:国家计算机网络与信息安全管理中心安徽分中心工程师

  • Online:2019-10-15 Published:2020-11-20

摘要: 大数据目前已被世界各国广泛应用,正逐渐成为现代生活的必要基础设施。然而,大数据的滥用越来越严重。本研究建立系统动力学模型,分析大数据监管的作用机理,并将模型在反电信网络诈骗系统中进行了实证检验。研究结果表明,用户自监管是解决监管问题的症状解而系统监管是基础解。此外,系统覆盖率、行为变异率和转移成本是解决监管问题的间接影响因素,其中系统覆盖率为积极因素而行为变异率、转移成本为消极因素。本研究探索了将系统动力学和大数据监管相结合的创新途径,发现了分析大数据监管作用机理的有效方法。

关键词: 大数据监管, 系统动力学, 用户自监管, 系统监管, 转移成本

Abstract: Big data is an imperative foundation of modern life and it has already been widely used all over the world. However, the abuse of big data is becoming more and more serious. This study develops a system dynamics model to analyze the mechanism of big data regulation. And the model is verified in an anti telecom and network fraud system.The findings indicate that user self regulation is the symptomatic solution and system regulation is the fundamental solution to the regulation problem. System coverage has positive indirect effects to solving the regulation problem, while behavior variation and switching cost have negative indirect effects at the same time. The study validates an innovative approach in the combination of system dynamics and big data regulation, and finds an effective way to analyze the mechanism of big data regulation.

Key words: system dynamics, big data regulation, user self regulation, system regulation, switching cost