Version 1
: Received: 5 May 2023 / Approved: 8 May 2023 / Online: 8 May 2023 (10:57:43 CEST)
How to cite:
Alsamhi, S.H.; Curry, E.; Hawbani, A.; Kumar, S.; Ul Hassan, U.; Rajput, N.S. DataSpace in the Sky: A Novel Decentralized Framework to Secure Drones Data Sharing in B5G for Industry 4.0 toward Industry 5.0. Preprints2023, 2023050529. https://doi.org/10.20944/preprints202305.0529.v1
Alsamhi, S.H.; Curry, E.; Hawbani, A.; Kumar, S.; Ul Hassan, U.; Rajput, N.S. DataSpace in the Sky: A Novel Decentralized Framework to Secure Drones Data Sharing in B5G for Industry 4.0 toward Industry 5.0. Preprints 2023, 2023050529. https://doi.org/10.20944/preprints202305.0529.v1
Alsamhi, S.H.; Curry, E.; Hawbani, A.; Kumar, S.; Ul Hassan, U.; Rajput, N.S. DataSpace in the Sky: A Novel Decentralized Framework to Secure Drones Data Sharing in B5G for Industry 4.0 toward Industry 5.0. Preprints2023, 2023050529. https://doi.org/10.20944/preprints202305.0529.v1
APA Style
Alsamhi, S.H., Curry, E., Hawbani, A., Kumar, S., Ul Hassan, U., & Rajput, N.S. (2023). DataSpace in the Sky: A Novel Decentralized Framework to Secure Drones Data Sharing in B5G for Industry 4.0 toward Industry 5.0. Preprints. https://doi.org/10.20944/preprints202305.0529.v1
Chicago/Turabian Style
Alsamhi, S.H., Umair Ul Hassan and Navin Singh Rajput. 2023 "DataSpace in the Sky: A Novel Decentralized Framework to Secure Drones Data Sharing in B5G for Industry 4.0 toward Industry 5.0" Preprints. https://doi.org/10.20944/preprints202305.0529.v1
Abstract
Dataspaces are decentralized and open ecosystems that guarantee trustworthy and secure sharing of data among their participants. In recent years, dataspaces have gained popularity due to their design for managing and sharing heterogeneous data from various sources and domains; and their capability to incrementally solve data integration issues. Leveraging dataspace and advanced technologies plays a vital role in solving many real-world applications effectively and efficiently in real-time. Drone technology is one type of technology that can be deployed to gather data from different resources in harsh or smart environments. Beyond fifth-generation (B5G) communication networks significantly contribute to drones’ development and widespread use by providing low latency and high throughput. Therefore, data sharing among drones in B5G networks offer significant potential to enhance commercial and civilian applications. However, several security issues for collaboration and data sharing, such as data privacy leakage, because of sensitive data and the lack of trustworthy centralized monitoring. Furthermore, sharing data is one of the essential requirements for drone collaboration to achieve their tasks effectively and efficiently in real-time. This conceptual framework presents a novel dataspace in the sky, focusing on securing drone data sharing in B5G for Industry 4.0 toward Industry 5.0. We present how Federated Learning (FL) assists drones in collaboration effectively and efficiently, sharing models instead of raw data. However, because of the fragility of the central curator, the reliability of contribution recording, and the poor quality of shared local models, there are still significant security and privacy issues for drone-assisted smart environments in B5G. Therefore, we present the conceptual framework for leveraging blockchain and FL to secure and manage data sharing of collaborative drones’ dataspace in space in a decentralized fashion. The decentralisation of dataspaces would significantly expand the drive and market for the development of citizen-friendly mobility services.
Keywords
Dataspace; data sharing; drones; B5G; security; IoT; Federated learning; Blockchain; Industry 4.0; Industry 5.0
Subject
Engineering, Industrial and Manufacturing Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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