A Blockchain-Assisted Massive IoT Data Collection Intelligent Framework

被引:23
作者
Zhang, Lupeng [1 ]
Li, Fengqi [1 ]
Wang, Pingchuan [1 ]
Su, Rui [1 ]
Chi, Zongzheng [1 ]
机构
[1] Dalian Univ Technol, Key Lab Ubiquitous Network & Serv Software Liaoni, Dalian 116024, Peoples R China
关键词
Sensors; Wireless sensor networks; Peer-to-peer computing; Blockchain; Data collection; Security; Internet of Things; data collection; identity verification; Internet of Things (IoT); privacy protection; DATA AGGREGATION SCHEME; TRUST MODEL; INTERNET; PRIVACY; SECURE; LIGHTWEIGHT;
D O I
10.1109/JIOT.2021.3049674
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Due to the vigorous development of wireless communication technology, massive sensors have been gradually connected to the Internet of Things (IoT) and generate a massive quantity of valuable IoT data from large-scale wireless sensor networks (WSNs) controlled by different owners. Massive IoT data need to be collected and circulated among multiple data owners and data users. However, existing data collection frameworks may cause heavy computational overhead or rely on trusted third parties, since sensors have constrained resources. Consequently, massive IoT data are transformed among different parties, causing severe trust and security issues. In this article, we propose a blockchain-assisted massive IoT data collection (MIDC) intelligent framework to support the security, trust and efficiency of massive data collection for large-scale heterogeneous WSNs. In particular, we propose a series of novel technologies for the framework: 1) we design a large-scale heterogeneous WSNs collaborative identity verification protocol to ensure reliable data sources; 2) we build a hierarchical massive data aggregation scheme to collect massive IoT data efficiently and securely; and 3) we depict a blockchain-based massive IoT data management method to construct trust among different parties. Extensive simulation and prototype experimental results prove the effectiveness of our framework.
引用
收藏
页码:14708 / 14722
页数:15
相关论文
共 29 条
  • [1] Abe N., 2006, P INT C KNWL DISC DA, P504
  • [2] Recommendation-Based Trust Model for Vehicle-to-Everything (V2X)
    Alnasser, Aljawharah
    Sun, Hongjian
    Jiang, Jing
    [J]. IEEE INTERNET OF THINGS JOURNAL, 2020, 7 (01) : 440 - 450
  • [3] Boneh D, 2003, LECT NOTES COMPUT SC, V2656, P416
  • [4] On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study
    Campos, Guilherme O.
    Zimek, Arthur
    Sander, Jorg
    Campello, Ricardo J. G. B.
    Micenkova, Barbora
    Schubert, Erich
    Assent, Ira
    Houle, Michael E.
    [J]. DATA MINING AND KNOWLEDGE DISCOVERY, 2016, 30 (04) : 891 - 927
  • [5] LSAA: A Lightweight and Secure Access Authentication Scheme for Both UE and mMTC Devices in 5G Networks
    Cao, Jin
    Yan, Zheng
    Ma, Ruhui
    Zhang, Yinghui
    Fu, Yulong
    Li, Hui
    [J]. IEEE INTERNET OF THINGS JOURNAL, 2020, 7 (06) : 5329 - 5344
  • [6] NEAREST NEIGHBOR PATTERN CLASSIFICATION
    COVER, TM
    HART, PE
    [J]. IEEE TRANSACTIONS ON INFORMATION THEORY, 1967, 13 (01) : 21 - +
  • [7] De Caro A, 2011, IEEE SYMP COMP COMMU
  • [8] Blockchain Technologies for the Internet of Things: Research Issues and Challenges
    Ferrag, Mohamed Amine
    Derdour, Makhlouf
    Mukherjee, Mithun
    Derhab, Abdelouahid
    Maglaras, Leandros
    Janicke, Helge
    [J]. IEEE INTERNET OF THINGS JOURNAL, 2019, 6 (02) : 2188 - 2204
  • [9] Permissioned Blockchain and Edge Computing Empowered Privacy-Preserving Smart Grid Networks
    Gai, Keke
    Wu, Yulu
    Zhu, Liehuang
    Xu, Lei
    Zhang, Yan
    [J]. IEEE INTERNET OF THINGS JOURNAL, 2019, 6 (05): : 7992 - 8004
  • [10] Handy MJ, 2002, 2002 4TH INTERNATIONAL WORKSHOP ON MOBILE AND WIRELESS COMMUNICATION NETWORK, P368, DOI 10.1109/MWCN.2002.1045790