More Web Proxy on the site http://driver.im/

research-article

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.

References

[1]

J. Cheng, S. Qi, W. Wang, Y. Yang, and Y. Qi. 2020. Fast consistency auditing for massive industrial data in untrusted cloud services. In Proceedings of the 2020 on Great Lakes Symposium on VLSI.

Digital Library

[2]

F. Dabbene, P. Gay, and C. Tortia. 2014. Traceability issues in food supply chain management: A review. Biosystems Engineering 120 (2014), 65–80.

[3]

Retrieved Jan. 2021 from https://www.forbes.com/sites/williamhaseltine/2020/11/09/are-frozen-foods-a-risk-for-covid-19-infection-possibly/?sh=aabbc8f3a01c.

[4]

Retrieved Jan. 2021 from https://www.forbes.com/sites/robertglatter/2020/08/23/covid-19-coronavirus-can-survive-on-frozen-meat-and-fish-for-up-to-3-weeks-study-finds/?sh=706c85c68877.

[5]

A. Ghasempour. 2019. Internet of Things in smart grid: Architecture, applications, services, key technologies, and challenges. Inventions Journal 4, 1 (2019), 1–12.

[6]

M. Ma, D. He, N. Kumar, et al. 2018. Certificateless searchable public key encryption scheme for industrial Internet of Things[J]. IEEE Transactions on Industrial Informatics 14, 2 (2018), 759–767.

[7]

P. Popa, J. Lorch, and D. Molnar. 2010. Enabling security in cloud storage SLAs with CloudProof. In Proceedings of the Usenix Atc. 31–31.

[8]

S. Qi, Y. Lu, Y. Zheng, Y. Li, and X. Chen. 2021. Cpds: Enabling compressed and private data sharing for industrial IoT over blockchain. IEEE Transactions on Industrial Informatics 17, 4 (2021), 2376–2387.

[9]

S. Qi, Y. Lu, W. Wei, and X. Chen. 2021. Efficient data access control with fine-grained data protection in cloud-assisted IIoT. IEEE Internet of Things Journal 8, 4 (2021), 2886–2899.

[10]

S. Qi and Y. Zheng. 2021. Crypt-DAC: Cryptographically enforced dynamic access control in the cloud. IEEE Transactions on Dependable and Secure Computing 18, 2 (2021), 765–779.

Digital Library

[11]

S. Qi, S. Zheng, M. Li, Y. Liu, and J. Qiu. 2016. Scalable industry data access control in RFID-enabled supply chain. IEEE/ACM Transactions on Networking 24, 6 (2016), 3551–3564.

Digital Library

[12]

B. H. Kim and D. Lie. 2015. Caelus: Auditing the consistency of cloud services with battery-powered devices. In Proceedings of the 2015 IEEE Symposium on Security and Privacy. IEEE.

Digital Library

[13]

Y. Hu, S. Kumar, and R. A. Popa. 2020. Ghostor: Toward a secure data-sharing system from decentralized trust. In Proceedings of the 17th USENIX Symposium on Networked Systems Design and Implementation.

[14]

Oded Goldreich R. O. Software Protection and Simulation on Oblivious RAMs[M]. Journal of the ACM (JACM) 43, 3 (1996), 431–473.

[15]

E. Stefanov, M. V. Dijk, E. Shi, T. H. H. Chan, C. Fletcher, L. Ren, X. Yu, and S. Devadas. 2018. Path ORAM: an extremely simple oblivious RAM protocol[J]. Journal of the ACM (JACM) 65, 4 (2018), 1–26.

Digital Library

[16]

Retrieved Aug. 2021 from https://cloud.oracle.com/en_US/manufacturing-cloud.

[17]

Retrieved Aug. 2021 from https://www.ibm.com/cloud/services.

[18]

A. J. Feldman, W. P. Zeller, M. J. Freedman, and E. W. Felten. 2010. SPORC: Group Collaboration using Untrusted Cloud Resources[C]. In 9th USENIX Symposium on Operating Systems Design and Implementation (OSDI’10).

[19]

A. Shraer, C. Cachin, A. Cidon, I. Keidar, Y. Michalevsky, and D. Shaket. 2010. Venus: Auditing for untrusted cloud storage. In Proceedings of the 2010 ACM Workshop on Cloud Computing Security Workshop. ACM.

[20]

P. Mahajan, S. Setty, S. Lee, A. Clement, L. Alvisi, M. Dahlin, and M. Walfish. 2011. Depot: Cloud storage with minimal trust[J]. ACM Transactions on Computer Systems (TOCS) 29, 4 (2011), 1–38.

[21]

Christian Cachin, Idit Keidar, Alexander Shraer. Fail-Aware Untrusted Storage. In Proceedings of the 2009 IEEE/IFIP International Conference on Dependable Systems & Networks. IEEE, 2009.

[22]

C. Cachin and O. Ohrimenko. 2018. Verifying the consistency of remote untrusted services with conflict-free operations. Information & Computation 260 (2018), 72–88.

[23]

M. T. Goodrich and M. Mitzenmacher. 2010. MapReduce Parallel Cuckoo Hashing and Oblivious RAM Simulations. CoRR, abs/1007.1259.

[24]

M. T. Goodrich, M. Mitzenmacher, O. Ohrimenko, and R. Tamassia. 2011. Privacy-preserving group data access via stateless oblivious RAM simulation[J]. In Proceedings of the twenty-third annual ACM-SIAM symposium on Discrete Algorithms. Society for Industrial and Applied Mathematics. 157–167.

[25]

M. T. Goodrich, M. Mitzenmacher, O. Ohrimenko, and R. Tamassia. 2011. Oblivious RAM simulation with efficient worst-case access overhead[C]. In Proceedings of the 3rd ACM Workshop on Cloud Computing Security Workshop. 95–100.

Digital Library

[26]

E. Kushilevitz, S. Lu, and R. Ostrovsky. 2012. On the (in)security of hash-based oblivious RAM and a new balancing scheme. In Proceedings of the 23rd Annual ACM-SIAM Symposium on Discrete Algorithms.

[27]

P. Williams, R. Sion, and B. Carbunar. 2008. Building castles out of mud: Practical access pattern privacy and correctness on untrusted storage. In Proceedings of the ACM Conference on Computer & Communications Security. ACM.

Digital Library

[28]

P. Williams, R. Sion, and A. Tomescu. 2012. PrivateFS: A parallel oblivious file system. In Proceedings of the ACM Conference on Computer & Communications Security. ACM.

Digital Library

[29]

P. Williams and R. Sion. 2012. Single round access privacy on outsourced storage. In Proceedings of the 2012 ACM Conference on Computer and Communications Security. ACM.

Digital Library

[30]

D. Yuan, X. Song, Q. Xu, M. Zhao, X. Wei, H. Wang, and H. Jiang. 2018. An ORAM-based privacy preserving data sharing scheme for cloud storage. Journal of Information Security and Applications 39 (2018), 1–9.

Digital Library

[31]

M. T. Goodrich. 2017. BIOS ORAM: Improved privacy-preserving data access for parameterized outsourced storage. In Proceedings of the 2017 on Workshop on Privacy in the Electronic Society.

Digital Library

[32]

Q. Ma, J. Zhang, Y. Peng, W. Zhang, and D. Qiao. 2016. SE-ORAM: A storage-efficient oblivious RAM for privacy-preserving access to cloud storage. In Proceedings of the 2016 IEEE 3rd International Conference on Cyber Security and Cloud Computing. IEEE, 20–25.

[33]

E. Boyle, K. M. Chung, and R. Pass. 2016. Oblivious parallel RAM and applications. In Proceedings of the Conference on Theory of Cryptography. Springer, Berlin.

[34]

M. Maffei, G. Malavolta, M. Reinert, and D. Schröder. 2015. Privacy and access control for outsourced personal records. In Proceedings of the 2015 IEEE Symposium on Security and Privacy. IEEE, 341–358.

Digital Library

[35]

Paolo Viotti, Dan Dobre, and Marko Vukolić. 2017. Hybris: Robust hybrid cloud storage. ACM Transactions on Storage 13, 3 (2017), 32 pages. DOI:

Digital Library

[36]

Marcus Brandenburger, Christian Cachin, and Nikola Knežević. 2017. Don’t trust the cloud, verify: Integrity and consistency for cloud object stores. ACM Transactions on Privacy and Security 20, 3 (2017), 30 pages. DOI:

Digital Library

[37]

J. Zhu, G. Sun, X. Zhang, C. Zhang, W. Zhang, Y. Liang, and J. Di. 2020. Fork path: Batching ORAM requests to remove redundant memory accesses. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 39, 10 (2020), 2279–2292.

[38]

T. Hoang, J. Guajardo, and A. Yavuz. 2020. MACAO: A maliciously-secure and client-efficient active ORAM framework. In Proceedings of the 27th Annual Network and Distributed System Security Symposium.

[39]

S. K. Haider and M. van Dijk. 2019. Flat ORAM: A simplified write-only oblivious RAM construction for secure processors. Cryptography 3, 1 (2019), 10.

[40]

A. Pal and K. Kant. Smart sensing, communication, and control in perishable food supply chain. ACM Transactions on Sensor Networks (TOSN), 16, 1 (2020), 1–41.

Digital Library

[41]

CDC. 2016. Estimates of Foodborne Illness in the United States. Retrieved Feb., 2020 from https://www.cdc.gov/foodborneburden/estimatesoverview.html.

Cited By

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

Recommendations

IIOT Within The Architecture Of The Manufacturing Company
DTMIS '20: Proceedings of the International Scientific Conference - Digital Transformation on Manufacturing, Infrastructure and Service

The introduction of the Internet of Things (IoT) in industry can increase the level of production management, increase the speed of managerial decision-making, and provide higher quality products. The article discusses the use of the Industrial Internet ...
A Genre-Based Item-Item Collaborative Filtering: Facing the Cold-Start Problem
ICSCA '19: Proceedings of the 2019 8th International Conference on Software and Computer Applications

Recommender System is a technique which is used to recommend an item or product to a user based on the user's preference'. Collaborative filtering is an approach that is vastly used in recommender systems. Item-item-based collaborative filtering is a ...
A Secure Group Data Encryption Scheme in Intelligent Manufacturing Systems for IIoT

In recent years, there are many industries that imported intelligent systems to help them make the intelligent factory and get product record analysis to evaluate product rate. These intelligent systems could generate product records, store them to ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

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].

Publisher

Association for Computing Machinery

New York, NY, United States

Journal Family

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

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article
Refereed

Funding Sources

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

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

1
Total Citations
View Citations
286
Total Downloads

Downloads (Last 12 months)84
Downloads (Last 6 weeks)4

Reflects downloads up to 13 Dec 2024

Other Metrics

View Author Metrics

Citations

Cited By

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

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Article

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Full Text

View this article in Full Text.

HTML Format

View this article in HTML Format.

Media

Figures

Other

Tables

View full text|Download PDF

View Issue’s Table of Contents