Analysis of Digital Security Governance under the Objectives of Digital Ecology: A Three-Party Evolutionary Game Approach

IF 1.7 4区 工程技术 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Complexity Pub Date : 2024-04-16 DOI:10.1155/2024/8849477
Zhen Tian, Chuchu Jiang, Gangyi Yue
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Abstract

With the rapid development of the digital economy, there has been an explosion in the amount of data generated. Data have become a vital resource for nations, just as tangible assets and human capital are crucial factors of production. Consequently, protecting digital security has become paramount. However, the increasing frequency of various data security incidents in recent years has exposed issues such as inadequate platform governance, lack of government regulation, and incomplete digital security governance (DSG) mechanisms. This study aims to create a healthy and open digital ecosystem and proposes a new digital security governance framework. It subdivides traditional government departments into local governments and the central government. Together with third-party platforms, they are analyzed as participants in an evolutionary game. The study examines the evolutionary stability of strategy choices made by each party and explores the relationship between key factors such as negative externalities, data security incident probabilities, and their impacts on strategy selection using numerical simulations. The research findings indicate the following. (1) Key parameters such as implicit benefits, government subsidies, and negative externalities play a significantly positive role in the development of the digital ecosystem. (2) The central government consistently tends towards emergency response, considering the overall societal perspective, as long as it is capable of bearing the costs. (3) Local governments may exhibit free-riding behavior during the governance process. To address this, it is important to increase the willingness of third-party platforms to govern and oversee the participation of local governments, which is an effective way to prevent data crises. The study also identifies different governance models in various environments: (1) a digital security governance model in a stable market environment, involving increased central government intervention and supervision of local governments’ participation; and (2) a digital security governance model in the event of a data crisis, where the central government establishes subsidies that exceed the governance costs of local governments to enhance the willingness of third-party platforms to govern. Finally, recommendations and strategies are presented to enhance the level of digital security governance.

数字生态目标下的数字安全治理分析:三方进化博弈法
随着数字经济的快速发展,产生的数据量激增。数据已成为国家的重要资源,就像有形资产和人力资本是重要的生产要素一样。因此,保护数字安全变得至关重要。然而,近年来各种数据安全事件日益频繁,暴露出平台治理不力、政府监管缺失、数字安全治理(DSG)机制不完善等问题。本研究旨在创建一个健康、开放的数字生态系统,并提出了一个新的数字安全治理框架。它将传统政府部门细分为地方政府和中央政府。本研究将传统政府部门细分为地方政府和中央政府,并将它们与第三方平台一起作为进化博弈的参与者进行分析。研究考察了各方策略选择的演化稳定性,并通过数值模拟探讨了负外部性、数据安全事件概率等关键因素之间的关系及其对策略选择的影响。研究结果表明了以下几点。(1)隐性利益、政府补贴和负外部性等关键参数对数字生态系统的发展起着显著的积极作用。(2) 从社会整体角度考虑,只要中央政府有能力承担成本,就会始终倾向于应急响应。(3) 地方政府在治理过程中可能会出现搭便车行为。要解决这一问题,必须提高第三方平台的治理意愿,监督地方政府的参与,这是预防数据危机的有效途径。研究还发现了不同环境下的不同治理模式:(1) 稳定市场环境下的数字安全治理模式,即中央政府加强干预,监督地方政府参与;(2) 发生数据危机时的数字安全治理模式,即中央政府设立补贴,补贴金额超过地方政府的治理成本,以增强第三方平台的治理意愿。最后,提出了提升数字安全治理水平的建议和策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Complexity
Complexity 综合性期刊-数学跨学科应用
CiteScore
5.80
自引率
4.30%
发文量
595
审稿时长
>12 weeks
期刊介绍: Complexity is a cross-disciplinary journal focusing on the rapidly expanding science of complex adaptive systems. The purpose of the journal is to advance the science of complexity. Articles may deal with such methodological themes as chaos, genetic algorithms, cellular automata, neural networks, and evolutionary game theory. Papers treating applications in any area of natural science or human endeavor are welcome, and especially encouraged are papers integrating conceptual themes and applications that cross traditional disciplinary boundaries. Complexity is not meant to serve as a forum for speculation and vague analogies between words like “chaos,” “self-organization,” and “emergence” that are often used in completely different ways in science and in daily life.
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