摘要
文章通过建立伪记录表,将新添加的记录与伪记录进行匹配,创造删除伪记录的机会,以达到减少匿名数据集中伪记录的目的,将记录桶进行分割,设计实现一种动态多敏感属性匿名保护的多线程并行算法c-m-inv。实验结果表明,算法c-m-inv高效、生成的多敏感属性匿名数据集具有较高的可用性。
A table of counterfeits is created, and the new added records are compared with the counter- feits to delete some counterfeits and reduce the total number of counterfeits in the anonymous dataset. The record buckets are split, and a multi-thread parallel algorithm c-m-inv for dynamic multiple sensi- tive attributes anonymous protection is designed. The experimental results show that the algorithm c- m-inv is efficient and the anonymous dataset generated by it has high serviceability.
出处
《合肥工业大学学报（自然科学版）》
CAS
北大核心
2017年第9期1204-1208,共5页
Journal of Hefei University of Technology：Natural Science
基金
广西自然科学基金资助项目(2014GXNSFAA118396
2011GXNSFA018152)
关键词
数据匿名
多敏感属性
m-不变性
多线程并行
data anonymization
multiple sensitive attribute
rn-invariance
multi-thread parallel
