基于演化博弈的隐私风险自适应访问控制模型

丁红发; 彭长根; 田有亮; 向淑文

doi:10.11959/j.issn.1000-436x.2019240

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基于演化博弈的隐私风险自适应访问控制模型

学术论文 | 更新时间：2024-06-05

- 基于演化博弈的隐私风险自适应访问控制模型
- Privacy risk adaptive access control model via evolutionary game
- 通信学报 2019年40卷第12期页码：9-20
- 作者机构：
  
  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
- 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。" ]
- 基金信息：
  
  国家自然科学基金资助项目(U1836205);国家自然科学基金资助项目(61662009);国家自然科学基金资助项目(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)
- DOI：10.11959/j.issn.1000-436x.2019240
  中图分类号： TP309
- 网络首发：2019-12，
  
  纸质出版：2019-12-25
- 稿件说明：
移动端阅览
丁红发, 彭长根, 田有亮, 等. 基于演化博弈的隐私风险自适应访问控制模型[J]. 通信学报, 2019,40(12):9-20.

Hongfa DING, Changgen PENG, Youliang TIAN, et al. Privacy risk adaptive access control model via evolutionary game[J]. Journal on Communications, 2019, 40(12): 9-20.
丁红发, 彭长根, 田有亮, 等. 基于演化博弈的隐私风险自适应访问控制模型[J]. 通信学报, 2019,40(12):9-20. DOI： 10.11959/j.issn.1000-436x.2019240.

Hongfa DING, Changgen PENG, Youliang TIAN, et al. Privacy risk adaptive access control model via evolutionary game[J]. Journal on Communications, 2019, 40(12): 9-20. DOI： 10.11959/j.issn.1000-436x.2019240.

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。

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.

关键词

Keywords

references

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