云环境下基于静态博弈的信任等级模型研究

Research on Trust Level Model Based on Static Game in the Cloud Environment

  • 摘要: 针对开放的云环境下个别用户的不合作行为对系统造成的安全威胁,提出一种基于"倒金字塔"分级的信任模型.以云用户在数据交互中的合作态度为依据计算信誉值,按照积累的信誉值甄别用户的可信程度并进行分级管理,并进一步使用完全信息静态博弈理论,评判不同级别用户在交互中的选择策略.仿真结果及分析表明,此信任等级模型能够甄别系统中存在的非可信用户,激励用户的合作行为,提高系统预防安全威胁的能力.

     

    Abstract: In order to solve security threats of the system caused by the non-cooperative behavior of individual users in the open cloud environment, a trust model based on "inverted pyramid" classification was proposed. Firstly, the cooperative attitudes of the cloud users were used as a basis for calculating their reputation values. Secondly, the cloud users were managed hierarchically according to their accumulated reputation values. Thirdly, the selection strategies of the users of different levels were judged by complete information static game theory in an interaction process. Simulation results and analysis show that the trust level model can distinguish untrusted users in the system, stimulate cooperative behavior of the users, and improve the ability of system in the prevention of security threats.

     

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