一种抵制对等性攻击的(p,θ)k-匿名模型  

A(p,θ)k-anonymity Model for Resisting Peer-to-peer Attacks

作　　者：符精晶 许晓东[1] FU Jingjing;XU Xiaodong(School of Computer Science and Communication Engineering,Jiangsu University,Zhenjiang 212013)

机构地区：[1]江苏大学计算机科学与通信工程学院,镇江212013

出　　处：《计算机与数字工程》2021年第8期1619-1624,共6页Computer & Digital Engineering

摘　　要：针对当前p-sensitive k-匿名模型未考虑敏感属性的敏感程度,不能抵制对等性攻击的问题,提出一种可抵制对等性攻击的(p,θ)k-匿名模型。同时引入互信息量来度量属性间的关联度,为准标识属性的进一步泛化提供依据。实验结果表明,所提的(p,θ)k-匿名模型相对于p-sensitive k-匿名模型降低了敏感属性泄露的概率,更能有效地保护个体隐私。Aiming at the problem that the current p-sensitive k-anonymous model does not consider the sensitivity of sensitive attributes and can't resist the problem of peer attacks,a(p,θ)k-anonymity model is proposed to resist peer attack.At the same time,mutual information is introduced to measure the degree of association between attributes,which provides a basis for further generalization of quasi-identification attributes.The experimental results show that the proposed algorithm reduces the probability of sensitive attribute leakage compared with the p-sensitive k-anonymous model,and can effectively protect individual privacy.

关 键 词：隐私保护 信息安全 K-匿名 敏感属性 关联度 

分 类 号：TP309[自动化与计算机技术—计算机系统结构]