Research on Privacy Protection Technology for Data Publishing

被引：1

作者：

Qu, Lianwei ^{[1
]}

Yang, Jing ^{[1
]}

Yan, Xueyun ^{[1
]}

Ma, Lixin ^{[1
]}

Yang, Qixuan ^{[1
]}

Han, Yaxin ^{[1
]}

机构：

[1] Harbin Engn Univ, Harbin, Peoples R China

来源：

2021 21ST INTERNATIONAL CONFERENCE ON SOFTWARE QUALITY, RELIABILITY AND SECURITY COMPANION (QRS-C 2021) | 2021年

基金：

中国国家自然科学基金; 中国博士后科学基金;

关键词：

component; Internet of Things; data publishing; attack models; privacy protection; LOCATION PRIVACY; DIFFERENTIAL PRIVACY; K-ANONYMITY;

D O I：

10.1109/QRS-C55045.2021.00151

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

With the Internet of Things (IoT) technology development, the agent terminals are able to collect and publish richer and more valuable privacy data. If it is short of the necessary privacy protection measures, the published private data will be leaked. The core of privacy protection technology in the field of data publishing is anonymity technology, encryption technology, and distortion technology. Current privacy protection methods cannot effectively keep the balance between data privacy and availability. This paper will conduct a systematic comparative analysis of the data publishing model, attack models, data publishing privacy protection technologies as well as applications in other fields. Finally, we will summarize the current research progress and problems.

引用

页码：999 / 1005

页数：7

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