文献类型：期刊文献

中文题名：基于信号博弈的物联网隐私保护研究

英文题名：PRIVACY PROTECTION RESEARCH OF INTERNET OF THINGSBASED ON SIGNALING GAMES

作者：和青青[1];吴国文[1];张红[1];沈士根[2];曹奇英[1]

机构：[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

年份：2024

卷号：41

期号：7

起止页码：263

中文期刊名：计算机应用与软件

外文期刊名：Computer Applications and Software

收录：北大核心2023、CSTPCD、、北大核心

基金：国家自然科学基金项目(61772018)。

语种：中文

中文关键词：信号博弈;物联网;恶意节点;贝叶斯均衡;隐私保护

外文关键词：Signaling games;Internet of things;Malicious nodes;Bayes equilibrium;Privacy protection

中文摘要：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。

外文摘要：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.