文章基本信息

标题：HRR: a data cleaning approach preserving local differential privacy
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作者：Qilong Han ; Qianqian Chen ; Liguo Zhang 等
期刊名称：International Journal of Distributed Sensor Networks
印刷版ISSN：1550-1329
电子版ISSN：1550-1477
出版年度：2018
卷号：14
期号：12
页码：1
DOI：10.1177/1550147718819938
出版社：Hindawi Publishing Corporation
摘要：For the sensitive data generated by the sensor, we can use the noise to protect the privacy of these data. However, because of the complicated collection environment of the sensor data, it is easy to obtain some disorderly data, and the data need to be cleaned before use. In this work, we establish the differential privacy cleaning model H-RR, which is based on the contradiction generated by the function dependency, correct the contradictory data, and use the indistinguishability between the correction results to protect the data privacy. In this model, we add the local differential privacy mechanism in the process of data cleaning. While simplifying the data pre-processing process, we want to find a balance between data availability and security.
关键词：Sensor network; local differential privacy; data cleaning