模式引导的数据匿名问题

Pattern-guided data anonymity problem

数据匿名化是大数据时代隐私安全领域的核心问题。针对每个模式向量恰有一个隐藏元素情形下的3-匿名问题,运用匹配原则和贪心原理,展开分类讨论并提出求最优解的算法。

Data anonymization is the core issue in the field of privacy security in the era of big data.Aiming at the 3-anonymity problem in the case that each pattern vector has exactly one hidden element,by using the matching principle and the greedy principle,the different cases of the original data are discussed and the algorithm for finding the optimal solution is proposed.