基于三方进化游戏的平台数据安全治理战略的研究.
Zhen Tian1, Meng Han1, Chuchu Jiang1
1Zhengzhou University of Light Industry, School of Economics and Management, China.
Heliyon
|September 12, 2024
概括
这项研究对数据安全治理进行了建模,发现高质量的产品,不寻找租金和严格的监管导致了理想的稳定状态. 政策建议旨在引导数字服务平台,监管机构和测试组织实现这一安全结果.
科学领域:
- 计算机科学 计算机科学
- 信息安全 信息安全
- 游戏理论 游戏理论
背景情况:
- 在国家安全概念下,数据安全治理至关重要.
- 目前的数字安全框架面临着平台,第三方测试人员和监管机构的挑战.
- 需要一个进化游戏模型来分析多方战略互动.
研究的目的:
- 为数据安全治理构建一个进化的游戏模型,涉及数字服务平台,第三方测试组织和政府监管机构.
- 分析这三个关键参与者的战略决策,行为影响和进化稳定性.
- 确定实现数字安全治理最佳和稳定的条件.
主要方法:
- 开发一个进化游戏模型,包括三个不同的玩家.
- 使用MATLAB对模型进行模拟和分析,以检查战略互动.
- 评估不同策略组合的进化稳定性.
主要成果:
- 进化系统汇聚到一个理想的稳定状态.
- 这种稳定的状态的特点是提供高质量的产品,拒绝寻找租金的行为,以及严格的监管监督.
- 该模型确定了导致最佳数据安全的特定策略组合.
结论:
- 实现最佳数据安全需要平台,测试人员和监管机构之间的协调战略.
- 政策建议包括建立数据安全评估机制和协作技术治理.
- 优化整体治理架构对于长期的数据安全和国家安全至关重要.
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