Sensors;
Task analysis;
Crowdsensing;
Industrial Internet of Things;
Data privacy;
Data models;
Servers;
Fog-assisted;
heterogeneous data;
industrial Internet of Things (IIoT);
mobile crowdsensing;
secure deduplication;
D O I:
10.1109/TII.2021.3099210
中图分类号:
TP [自动化技术、计算机技术];
学科分类号:
0812 ;
摘要:
Mobile crowdsensing provides the data collection and sharing for the 5G-enabled industrial Internet of Things. However, the redundant and duplicated heterogeneous sensing data bring unnecessary heavy storage and communication overhead. In this article, we propose a secure heterogeneous data deduplication scheme, which introduces the privacy-preserving cosine similarity computing to eliminate the replicate sensing data without privacy leakage in mobile crowdsensing. Specifically, we use the proxy re-encryption algorithm to realize secure and accurate task assignment via fog-assisted mobile crowdsensing. Based on lightweight two-party random masking and polynomial aggregation techniques, we achieve the privacy-preserving cosine similarity computing protocol. Finally, we conduct the privacy analysis, and experimental results on real-world datasets show that our approach is practical and effective.
机构:
Hunan Univ Technol & Business, Inst Big Data & Internet Innovat, Changsha 410205, Peoples R ChinaHunan Univ Technol & Business, Inst Big Data & Internet Innovat, Changsha 410205, Peoples R China
Hu, Chunhua
Fan, Weicun
论文数: 0引用数: 0
h-index: 0
机构:
WeiFang Univ Sci & Technol, Weifang Key Lab Blockchain Agr Vegetables, Weifang 262799, Peoples R ChinaHunan Univ Technol & Business, Inst Big Data & Internet Innovat, Changsha 410205, Peoples R China
Fan, Weicun
Zeng, Elan
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h-index: 0
机构:
Inst Big Data & Internet Innovat, Changsha 410205, Peoples R ChinaHunan Univ Technol & Business, Inst Big Data & Internet Innovat, Changsha 410205, Peoples R China
Zeng, Elan
Hang, Zhi
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h-index: 0
机构:
Inst Big Data & Internet Innovat, Changsha 410205, Peoples R ChinaHunan Univ Technol & Business, Inst Big Data & Internet Innovat, Changsha 410205, Peoples R China
Hang, Zhi
Wang, Fan
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机构:
Qufu Normal Univ, Sch Comp Sci, Rizhao 276826, Peoples R ChinaHunan Univ Technol & Business, Inst Big Data & Internet Innovat, Changsha 410205, Peoples R China
Wang, Fan
Qi, Lianyong
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机构:
Qufu Normal Univ, Sch Comp Sci, Rizhao 276826, Peoples R ChinaHunan Univ Technol & Business, Inst Big Data & Internet Innovat, Changsha 410205, Peoples R China
Qi, Lianyong
Bhuiyan, Md Zakirul Alam
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h-index: 0
机构:
Fordham Univ, Dept Comp & Informat Sci, Bronx, NY 10458 USAHunan Univ Technol & Business, Inst Big Data & Internet Innovat, Changsha 410205, Peoples R China