QIoTChain: Quantum IoT‐blockchain fusion for advanced data protection in Industry 4.0

Aditya Kumar Sharma; Mritunjay Shall Peelam; Brijesh Kumar Chauasia; Vinay Chamola

doi:10.1049/blc2.12059

journal article Open Access Nov 17, 2023

QIoTChain: Quantum IoT‐blockchain fusion for advanced data protection in Industry 4.0

Aditya Kumar Sharma Mritunjay Shall Peelam

Brijesh Kumar Chauasia Vinay Chamola

IET Blockchain Vol. 4 No. 3 pp. 252-262 · Institution of Engineering and Technology (IET)

View at Publisher Save 10.1049/blc2.12059

Abstract

Abstract
The modern world has its foundation built on data. Data is generated all the time, and many aspects of the society and economy are built upon it. In today's world, data is employed in better decision‐making, innovation, and improving the efficiency of systems. It becomes essential to protect it from being tampered with or misused. Encryptions based on cryptographic systems are used in mainstream data protection these days. There have been newer iterations of mechanisms based on new techniques using blockchain and the zero trust model and even systems that employ fog computing along with content delivery networks. The advent of computation through quantum technologies also helped in developing data security with post‐quantum mechanisms. The critical conditions for the working of these mechanisms hinder their adoption primarily. This also leads current systems to lack one or more of these technologies. Thus, the importance of a unified system that can employ quantum technologies effectively becomes prominent and requires a definitive investigation. In this article, a Quantum‐IoT‐based data protection scheme that can be of value to Industry 4.0 is analyzed. Light is also shed on innovations in quantum computing that can help solve not just current problems but also the future.

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References

33

[1]

10.1142/s2424862219500192

[2]

Peelam M.S. Johari R.:Enhancing security using quantum computing (ESUQC). In:Machine Learning Advances in Computing Renewable Energy and Communication: Proceedings of MARC 2020 pp.227–235.Springer Cham(2022) 10.1007/978-981-16-2354-7_21

[3]

Banafa A. (2022)

[4]

Check Point Software Technologies Ltd.IoT security solutions by check point.https://www.checkpoint.com/solutions/iot‐security/. Accessed: 15 May 2023

[5]

Guillen O.M. Pöppelmann T. Mera J.M.B. Bongenaar E.F. Sigl G. Sepulveda J.:Towards post‐quantum security for IoT endpoints with NTRU. In:Design Automation & Test in Europe Conference & Exhibition (DATE) pp.698–703.IEEE Piscataway NJ(2017) 10.23919/date.2017.7927079

[6]

10.1109/mcom.2017.1600522cm

[7]

10.1109/tcss.2021.3063538

[8]

10.1038/scientificamerican1092-50

[9]

10.1109/mcom.2018.1700330

[10]

Langione M. (2019)

[11]

10.1016/j.comnet.2020.107593

[12]

10.3991/ijim.v14i15.15893

[13]

10.1007/s11235-022-00938-7

[14]

10.1016/b978-0-323-96146-2.00020-6

[15]

10.1108/jfm-10-2020-0077

[16]

Rüßmann M. (2015)

[17]

Krishnamoorthy R. Aswini S. Guna C. et al.:Design and implementation of IoT based energy management system with data acquisition. In:2020 7th International Conference on Smart Structures and Systems (ICSSS) pp.1–5.IEEE Piscataway NJ(2020) 10.1109/icsss49621.2020.9201997

[18]

10.1016/j.iot.2020.100292

[19]

Renewable Energy Integration Into Cloud & IoT-Based Smart Agriculture

Et-Taibi Bouali, Mohamed Riduan Abid, El-Mahjoub Boufounas et al.

IEEE Access 10.1109/access.2021.3138160

[20]

10.1109/access.2022.3230937

[21]

10.3390/s18010162

[22]

10.1155/2022/5617903

[23]

10.1016/j.iotcps.2023.04.006

[24]

10.3390/jsan1030217

[25]

Shen X. Xu C. Zhu L. Lu R. Guan Y. Zhang X.:Blockchain‐based lightweight and privacy‐preserving quality assurance framework in crowdsensing systems.IEEE Internet Things J. (2023)https://doi.org/10.1109/JIOT.2023.3288349 10.1109/jiot.2023.3288349

[26]

10.3390/fi15080271

[27]

Monroy S.S. Li P. Fang Y. Loparo K.A.:Blockchain‐empowered distributed additive manufacturing‐as‐a‐service: an architectural perspective.IEEE Network(2023)https://doi.org/10.1109/MNET.129.2200459 10.1109/mnet.129.2200459

[28]

10.1038/s42254-020-00247-5

[29]

10.1038/srep07658

[30]

10.1109/ets50041.2021.9465397

[31]

10.1088/1361-6455/ab69a8

[32]

Emergen Research:Quantum computing market size share trends analysis report 2028. Accessed 27 July 2023https://www.emergenresearch.com/industry‐report/quantum‐computing‐market(2022)

[33]

10.1007/s12083-016-0528-2

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Metrics

44

Citations

33

References

Details

Published: Nov 17, 2023
Vol/Issue: 4(3)
Pages: 252-262
License: View

Authors

A

Aditya Kumar Sharma

SWE Atlassian India LLP Bengaluru Karnataka India

M

Mritunjay Shall Peelam

Department of Electrical and Electronics Engineering BITS Pilani Pilani India

B

Brijesh Kumar Chauasia

Department of CSE Pranveer Singh Institute of Technology Kanpur India

V

Vinay Chamola

Department of Electrical and Electronics Engineering BITS Pilani Pilani India

Cite This Article

Aditya Kumar Sharma, Mritunjay Shall Peelam, Brijesh Kumar Chauasia, et al. (2023). QIoTChain: Quantum IoT‐blockchain fusion for advanced data protection in Industry 4.0. IET Blockchain, 4(3), 252-262. https://doi.org/10.1049/blc2.12059

QIoTChain: Quantum IoT‐blockchain fusion for advanced data protection in Industry 4.0

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