社交网络环境下隐私保护投入的博弈策略分析——基于演化博弈的视角

发布时间：2018-05-02 00:24

本文选题：社交网络 + 隐私保护　；参考：《情报科学》2017年07期

【摘要】：【目的/意义】如何分析社交网络平台和用户的隐私保护投入成本和收益,从而有效引导与促进隐私保护,成为政府的重要任务。【方法/过程】设计由社交网络平台和用户组成的博弈参与主体,研究了行为双方的隐私保护投入行为与策略,依据不同行为策略的支付矩阵,建立了社交网络平台与用户隐私保护投入策略的演化博弈模型,并分析得到隐私保护投入的演化稳定策略。【结果/结论】结果表明,社交网络平台与用户的隐私保护投入策略与其投入成本和隐私损失密切相关,当双方隐私保护投入成本和隐私损失发生变化时,会出现多种演化稳定策略。运用matlab进行了数值仿真,验证了模型的有效性,并给出了相关对策和建议。
[Abstract]:[purpose / significance] how to analyze the costs and benefits of privacy protection for social networking platforms and users in order to effectively guide and promote privacy protection, To become an important task of the government. [method / process] designed a game participant composed of social network platform and users, studied the behavior and strategy of privacy protection of both parties, and based on the payment matrix of different behavior strategies, The evolutionary game model of social network platform and user privacy protection investment strategy is established, and the evolutionary stability strategy of privacy protection input is analyzed. [result / conclusion] the result shows that, Social network platform and user's privacy protection input strategy are closely related to their input cost and privacy loss. When both parties' privacy protection input cost and privacy loss change, there will be a variety of evolutionary stability strategies. The effectiveness of the model is verified by numerical simulation with matlab, and the relevant countermeasures and suggestions are given.
【作者单位】：南京信息工程大学经济管理学院;
【基金】：国家自然科学基金项目(71503133);国家自然科学基金项目(71603075) 江苏高校品牌专业建设工程资助项目的研究成果之一
【分类号】：C912.1

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