基于信号博弈的物联网隐私保护研究  

PRIVACY PROTECTION RESEARCH OF INTERNET OF THINGSBASED ON SIGNALING GAMES

作　　者：和青青 吴国文[1] 张红[1] 沈士根[2] 曹奇英[1] He Qingqing;Wu Guowen;Zhang Hong;Shen Shigen;Cao Qiying(College of Computer Science and Technology,Donghua University,Shanghai 201620,China;Department of Computer Science and Engineering,Shaoxing University,Shaoxing 312000,Zhejiang,China)

机构地区：[1]东华大学计算机科学与技术学院,上海201620 [2]绍兴文理学院计算机科学与工程系,浙江绍兴312000

出　　处：《计算机应用与软件》2024年第7期263-269,278,共8页Computer Applications and Software

基　　金：国家自然科学基金项目(61772018)。

摘　　要：针对具有恶意节点攻击的物联网,提出一种基于信号博弈的隐私保护模型。引入信任度、攻击致命度等参数来构建更为完备的支付矩阵,计算博弈双方的收益,并根据贝叶斯原理,分析多阶段动态博弈中的贝叶斯均衡,寻求最优节点检测策略与攻击策略并研究不同策略对于物联网隐私保护的影响。结合仿真实验,验证不同因素对于物联网隐私保护的影响,提出提高物联网隐私保护程度的方法。Aimed at the IoT with malicious nodes attack,a privacy protection model based on signaling games is proposed.We introduced the parameters such as trust degree and attack severity degree to construct a more complete payment matrix,calculated the benefits of both sides of the game,and analyzed the Bayesian equilibrium in the multi-stage dynamic game according to the Bayesian principle.We solved the optimal detection and attack strategies,and studied the impact of different strategies on the privacy protection of the IoT.Combining simulation experiments,the influence of different factors on optimal privacy protection is verified,and a method to improve the degree of privacy protection of the IoT is proposed.

关 键 词：信号博弈 物联网 恶意节点 贝叶斯均衡 隐私保护 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]