通信学报 ›› 2019, Vol. 40 ›› Issue (12): 9-20.doi: 10.11959/j.issn.1000-436x.2019240

• 学术论文 • 上一篇    下一篇

基于演化博弈的隐私风险自适应访问控制模型

丁红发1,2,3,彭长根1,3(),田有亮1,3,向淑文1   

  1. 1 贵州大学数学与统计学院公共大数据国家重点实验室,贵州 贵阳 550025
    2 贵州财经大学信息学院,贵州 贵阳 550025
    3 贵州大学计算机科学与技术学院,贵州 贵阳 550025
  • 修回日期:2019-12-06 出版日期:2019-12-25 发布日期:2020-01-16
  • 作者简介:丁红发(1988– ),男,河南南阳人,贵州大学博士生,贵州财经大学讲师,主要研究方向为数据安全、隐私保护|彭长根(1963– ),男,贵州锦屏人,博士,贵州大学教授、博士生导师,主要研究方向为密码学、数据安全、隐私保护等。|田有亮(1982– ),男,贵州盘县人,博士,贵州大学教授、博士生导师,主要研究方向为委托计算、区块链、隐私保护等。|向淑文(1965– ),男,湖南溆浦人,博士,贵州大学教授、博士生导师,主要研究方向为博弈论、优化算法等。
  • 基金资助:
    国家自然科学基金项目资助项目(U1836205);国家自然科学基金项目资助项目(61662009);国家自然科学基金项目资助项目(61772008);国家自然科学基金项目资助项目(11761020);贵州省科技计划基金资助项目(黔科合重大专项字[2018]3001);贵州省科技计划基金资助项目(黔科合重大专项字[2018]3007);贵州省科技计划基金资助项目(黔科合重大专项字[2017]3002);贵州省科技计划基金资助项目(黔科合支撑[2019]2004);贵州省科技计划基金资助项目(黔科合支撑[2018]2162);贵州省科技计划基金资助项目(黔科合支撑[2018]2159);贵州省科技计划基金资助项目(黔科合基础[2019]1049);贵州大学研究生创新基金资助项目(研理工2016068)

Privacy risk adaptive access control model via evolutionary game

Hongfa DING1,2,3,Changgen PENG1,3(),Youliang TIAN1,3,Shuwen XIANG1   

  1. 1 State Key Laboratory of Pubic Big Data,College of Mathematics and Statistics,Guizhou University,Guiyang 550025,China
    2 College of Information,Guizhou University of Finance and Economics,Guiyang 550025,China
    3 College of Computer Science and Technology,Guizhou University,Guiyang 550025,China
  • Revised:2019-12-06 Online:2019-12-25 Published:2020-01-16
  • Supported by:
    The National Natural Science Foundation of China(U1836205);The National Natural Science Foundation of China(61662009);The National Natural Science Foundation of China(61772008);The National Natural Science Foundation of China(11761020);The Science and Technology Program Foundation of Guizhou Province(黔科合重大专项字[2018]3001);The Science and Technology Program Foundation of Guizhou Province(黔科合重大专项字[2018]3007);The Science and Technology Program Foundation of Guizhou Province(黔科合重大专项字[2017]3002);The Science and Technology Program Foundation of Guizhou Province(黔科合支撑[2019]2004);The Science and Technology Program Foundation of Guizhou Province(黔科合支撑[2018]2162);The Science and Technology Program Foundation of Guizhou Province(黔科合支撑[2018]2159);The Science and Technology Program Foundation of Guizhou Province(黔科合基础[2019]1049);The Graduate Innovation Foundation of Guizhou University(研理工2016068)

摘要:

针对以数据为中心的开放信息系统,亟需能够保护隐私的细粒度自适应访问控制,并平衡隐私保护与数据访问效用间平衡的问题,提出了一种面向隐私保护的多参与者理性风险自适应访问控制模型。该模型基于香农自信息提出了动态访问数据集的隐私量化方法,构造了访问请求隐私风险函数和用户隐私风险函数;进一步基于演化博弈在有限理性假设下构建多参与者的访问控制演化博弈模型,利用复制动态方程分析了访问控制参与者的动态策略选择,提出了该博弈模型的演化稳定策略选取方法。仿真和对比表明,所提出的模型能够有效动态自适应地保护隐私,具有更好的隐私风险适应性,有限理性参与者的动态演化访问策略选取更加符合实际场景。

关键词: 风险自适应访问控制, 隐私保护, 演化博弈, 隐私风险量化, 信息量

Abstract:

Aiming at the problem that in the private sensitive date centralized and opening information systems,a fine-grained and self-adaptive access control model for privacy preserving is desperately needed,thus the balance between privacy preserving and data access utility should be achieved,a rational multi-player risk-adaptive based access control model for privacy preserving was proposed.Firstly,the privacy risk values of access request and requester were formulized by the private information quantity of the requested dataset,and by using Shannon information.Secondly,a risk-adaptive based access control evolutionary game model was constructed by using evolutionary game under the supposing of bounded rational players.Furthermore,dynamic strategies of participants were analyzed by using replicator dynamics equation,and the method of choosing evolutionary stable strategy was proposed.Simulation and comparison results show that,the proposed model is effective to dynamically and adaptively preserve privacy and more risk adaptive,and dynamic evolutionary access strategies of the bounded rational participants are more suitable for practical scenarios.

Key words: risk-adaptive based access control, privacy preserving, evolutionary game, privacy risk estimation, quantity of information

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