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Secure and Efficient Item Traceability for Cloud-Aided IIoT

Authors:

Jingxian Cheng,

Yuanqing Zheng,

Jingning Zhang,

Yong QiAuthors Info & Claims

ACM Transactions on Sensor Networks, Volume 18, Issue 4

Article No.: 54, Pages 1 - 24

https://doi.org/10.1145/3522740

Published: 29 November 2022 Publication History

Abstract

Cloud computing is an essential technique to provide item traceability for industrial internet of things (IIoT) systems by providing item data sharing services. However, a malicious cloud server may prevent industrial participants from acquiring accurate traceability of items by providing inconsistent item data. To fix this issue, we propose Acics, an item data consistency auditing scheme in untrusted cloud services for cloud-aided IIoT systems. Acics presents two variants named S-Acics and L-Acics. S-Acics enables industrial participants to audit item data consistency for each item and circularly play the auditing role. L-Acics further enables industrial participants to audit item data consistency for a sampled subset of items while resisting data selection attack via a new separated storage mechanism. Finally, Acics integrates a fair payment mechanism built on smart contract to incentivize the cloud server to provide consistent item data access service for industrial participants. The experiment results show that our solution can audit item data consistency with reasonable cost.

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Cited By

Deshmukh ABendale SHundekari SChitre AWanjale KDhumane AChopra GRani S(2025)Enhancing Scalability and Performance in Networked Applications Through Smart Computing Resource AllocationCurrent and Future Cellular Systems10.1002/9781394256075.ch12(227-250)Online publication date: 3-Jan-2025
https://doi.org/10.1002/9781394256075.ch12
Huang CWang BBao ZQi W(2024)2FAKA-C/S: A Robust Two-Factor Authentication and Key Agreement Protocol for C/S Data Transmission in Federated LearningApplied Sciences10.3390/app1415666414:15(6664)Online publication date: 30-Jul-2024
https://doi.org/10.3390/app14156664
Mai Do HTran TYoo M(2023)Deep Reinforcement Learning-Based Task Offloading and Resource Allocation for Industrial IoT in MEC Federation SystemIEEE Access10.1109/ACCESS.2023.330251811(83150-83170)Online publication date: 2023
https://doi.org/10.1109/ACCESS.2023.3302518

Index Terms

Secure and Efficient Item Traceability for Cloud-Aided IIoT
1. Security and privacy
  1. Database and storage security
    1. Management and querying of encrypted data

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Information & Contributors

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Published In

cover image ACM Transactions on Sensor Networks

ACM Transactions on Sensor Networks Volume 18, Issue 4

November 2022

619 pages

ISSN:1550-4859

EISSN:1550-4867

DOI:10.1145/3561986

Editor:
Yunhao Liu
Tsinghua University, China

Issue’s Table of Contents

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

New York, NY, United States

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ACM Journals for the Design of Smart and Connected Systems

Publication History

Published: 29 November 2022

Online AM: 05 May 2022

Accepted: 25 February 2022

Revised: 05 January 2022

Received: 23 September 2021

Published in TOSN Volume 18, Issue 4

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National Nature Science Foundation of China
Blockchain Core Technology Strategic Research Program of Ministry of Education (China)
Natural Science Foundation of Shaanxi Province of China
Shaanxi Key Laboratory of Intelligent Processing for Big Energy Data
National Key Research and Development Program of China

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Cited By

Deshmukh ABendale SHundekari SChitre AWanjale KDhumane AChopra GRani S(2025)Enhancing Scalability and Performance in Networked Applications Through Smart Computing Resource AllocationCurrent and Future Cellular Systems10.1002/9781394256075.ch12(227-250)Online publication date: 3-Jan-2025
https://doi.org/10.1002/9781394256075.ch12
Huang CWang BBao ZQi W(2024)2FAKA-C/S: A Robust Two-Factor Authentication and Key Agreement Protocol for C/S Data Transmission in Federated LearningApplied Sciences10.3390/app1415666414:15(6664)Online publication date: 30-Jul-2024
https://doi.org/10.3390/app14156664
Mai Do HTran TYoo M(2023)Deep Reinforcement Learning-Based Task Offloading and Resource Allocation for Industrial IoT in MEC Federation SystemIEEE Access10.1109/ACCESS.2023.330251811(83150-83170)Online publication date: 2023
https://doi.org/10.1109/ACCESS.2023.3302518

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