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Privacy-preserving raw data collection without a trusted authority for IoT

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成果类型:
期刊论文
作者:
Liu, Yi-Ning*;Wang, Yan-Ping;Wang, Xiao-Fen;Xia, Zhe;Xu, Jing-Fang
通讯作者:
Liu, Yi-Ning
作者机构:
[Wang, Yan-Ping; Liu, Yi-Ning] Guilin Univ Elect Technol, Guangxi Key Lab Trusted Software, Guilin, Peoples R China.
[Wang, Xiao-Fen] Univ Elect Sci & Technol China, Sch Comp Sci & Engn, Chengdu, Sichuan, Peoples R China.
[Xia, Zhe] Wuhan Univ Technol, Sch Comp Sci, Wuhan, Hubei, Peoples R China.
[Xu, Jing-Fang] Cent China Normal Univ, Sch Comp, Wuhan, Hubei, Peoples R China.
通讯机构:
[Liu, Yi-Ning] G
Guilin Univ Elect Technol, Guangxi Key Lab Trusted Software, Guilin, Peoples R China.
语种:
英文
关键词:
IoT;Data sharing;Data privacy;Shuffle;Raw data;Unlinkability
期刊:
Computer Networks
ISSN:
1389-1286
年:
2019
卷:
148
期:
Jan.15
页码:
340-348
基金类别:
This work was partly supported by National Natural Science Foundation of China under grants Nos. 61662016 and 61772224 , GUET Excellent Graduate Thesis Program No. 16YJPYSS17, Key projects of Guangxi Natural Science Foundation under grant no. 2018JJD170004, and Innovation Project of Guangxi Graduate Education No. YCSW2017139.
机构署名:
本校为其他机构
院系归属:
计算机学院
摘要:
With the rapid developments of IoT technologies, a large amount of real-time data is collected and shared, having important impacts on many applications, such as business advertisement and decision-making assistance. However, most users are unwilling to share their personal data directly to any third party for either academic research or commercial analysis because personal data contains private or sensitive information, such as economic status or living habits. Balancing the utility of big data and users' privacy is a vital issue in academia and industry. In this paper, a privacy-preserving r...

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