Privacy-Preserving Collaborative Sharing for Sharing Economy in Fog-Enhanced IoT

被引:0
|
作者
Bai, Wenle [1 ]
Huang, Aoran [1 ]
机构
[1] North China Univ Technol, Inst Informat, Beijing 100144, Peoples R China
关键词
Internet of Things; Protocols; Servers; Sharing economy; Privacy; Security; Costs; Collaboration; Edge computing; Fog-enhanced Internet of Things; privacy-preserving; sharing economy; collaborative sharing; homomorphic encryption; RANGE QUERY; EFFICIENT; AGGREGATION; SCHEME; COMMUNICATION; BLOCKCHAIN;
D O I
10.1109/ACCESS.2023.3280637
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Fog-enhanced Internet of Things (IoT) has been widely deployed in the field of collaboration and sharing. However, participants expressed concern about the fairness of cost-sharing and privacy of data because of complicated collaborative sharing and untrusted fog nodes in network. In this paper, a novel privacy-preserving collaborative sharing protocol is proposed in fog-enhanced IoT. This protocol, based on the Paillier cryptosystems, can guarantee that only the coarse aggregate of users' requests are used to achieve fair cost-sharing without any communication between users. In addition, with the proposed protocol, the data stored in the device can be accurately transmitted to the user in accordance with each user's request without prying into the user's personal schedule. To demonstrate the security of our protocol, the thorough security analysis is performed. A significant number of experiments and comparison with existing schemes indicates that the suggested protocol is feasible.
引用
收藏
页码:95295 / 95306
页数:12
相关论文
共 50 条
  • [1] Achieving Privacy-Preserving Subset Aggregation in Fog-Enhanced IoT
    Mahdikhani, Hassan
    Mahdavifar, Samaneh
    Lu, Rongxing
    Zhu, Hui
    Ghorbani, Ali A.
    [J]. IEEE ACCESS, 2019, 7 : 184438 - 184447
  • [2] Enabling Privacy-Preserving Geographic Range Query in Fog-Enhanced IoT Services
    Guo, Yu
    Xie, Hongcheng
    Wang, Cong
    Jia, Xiaohua
    [J]. IEEE TRANSACTIONS ON DEPENDABLE AND SECURE COMPUTING, 2022, 19 (05) : 3401 - 3416
  • [3] XRQuery: Achieving Communication-Efficient Privacy-Preserving Query for Fog-Enhanced IoT
    Yekta, Nafiseh Izadi
    Lu, Rongxing
    [J]. 2018 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), 2018,
  • [4] Achieving Efficient and Privacy-Preserving Range Query in Fog-enhanced IoT with Bloom Filter
    Mahdikhani, Hassan
    Lu, Rongxing
    Zheng, Yandong
    Ghorbani, Ali
    [J]. ICC 2020 - 2020 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), 2020,
  • [5] Cloud-Based Privacy-Preserving Collaborative Consumption for Sharing Economy
    Lyu, Lingjuan
    Chau, Sid Chi-Kin
    Wang, Nan
    Zheng, Yifeng
    [J]. IEEE TRANSACTIONS ON CLOUD COMPUTING, 2022, 10 (03) : 1647 - 1660
  • [6] A New Communication-Efficient Privacy-Preserving Range Query Scheme in Fog-Enhanced IoT
    Lu, Rongxing
    [J]. IEEE INTERNET OF THINGS JOURNAL, 2019, 6 (02) : 2497 - 2505
  • [7] Differential Privacy-Preserving IoT Data Sharing Through Enhanced PSO
    Dhavamani, Logeshwari
    Ananthavadivel, Devipriya
    Akilandeswari, P.
    Nanajappan, Manikandan
    [J]. JOURNAL OF COMPUTER INFORMATION SYSTEMS, 2024,
  • [8] APPA: An anonymous and privacy preserving data aggregation scheme for fog-enhanced IoT
    Guan, Zhitao
    Zhang, Yue
    Wu, Longfei
    Wu, Jun
    Li, Jing
    Ma, Yinglong
    Hu, Jingjing
    [J]. JOURNAL OF NETWORK AND COMPUTER APPLICATIONS, 2019, 125 : 82 - 92
  • [9] Blockchain for Health IoT: A privacy-preserving data sharing system
    Chen, Songling
    Fu, Xiangling
    Si, Hongchao
    Wang, Yi
    Gao, Songfeng
    Wang, Chunyuan
    [J]. SOFTWARE-PRACTICE & EXPERIENCE, 2022, 52 (09): : 2026 - 2044
  • [10] Privacy-Preserving Location-Based Data Queries in Fog-Enhanced Sensor Networks
    Xie, Hongcheng
    Guo, Yu
    Jia, Xiaohua
    [J]. IEEE INTERNET OF THINGS JOURNAL, 2021, 9 (14) : 12285 - 12299