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A trust architecture for blockchain in IoT
Open accessAbstract
Blockchain is a promising technology for establishing trust in IoT networks, where network nodes do not necessarily trust each other. Cryptographic hash links and distributed consensus mechanisms ensure that the data stored on an immutable blockchain can not be altered or deleted. However, blockchain mechanisms do not guarantee the trustworthiness of data at the origin. We propose a layered architecture for improving the end-to-end trust that can be applied to a diverse range of blockchain-based IoT applications. Our architecture evaluates the trustworthiness of sensor observations at the data layer and adapts block verification at the blockchain layer through the proposed data trust and gateway reputation modules. We present the performance evaluation of the data trust module using a simulated indoor target localization and the gateway reputation module using an end-to-end blockchain implementation, together with a qualitative security analysis for the architecture.
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“Three papers [1,7,11] employ the blockchain to ensure data security, such as the trustworthiness of sensor observations, while the blockchain is also a storage medium.”
From A Systematic Review of Data Quality in CPS and IoT for Industry 4.0 (2023) · cites this paper as [11]
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“Four of these papers [7,11,19,31] investigate how data security solutions can improve data quality (in particular, data accuracy).”
From A Systematic Review of Data Quality in CPS and IoT for Industry 4.0 (2023) · cites this paper as [11]
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“There is an explicit dependency between the data storage solution and the data quality support (i.e., ensuring data security) in these two works.”
From A Systematic Review of Data Quality in CPS and IoT for Industry 4.0 (2023) · cites this paper as [11]
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“Six primary studies [5,7,11,13,21,41] focus on data quality management in edge-based architecture levels (L2 and L3).”
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Blockchain based holistic trust management protocol for ubiquitous and pervasive IoT network
Patnaik, A., Mallik, B., & Krishna, M. V. (2022) · Journal of Experimental & Theoretical Artificial Intelligence · doi:10.1080/0952813x.2021.1960641 · Cited by 3
Enhancement of Lightweight Secure Blockchain Based Edward-El Gamal in the Internet of Things (IoT)
Anusha, R., & Saravanan, R. D. (2024) · Wireless Personal Communications · doi:10.1007/s11277-024-10953-3 · Cited by 3
Idrissi, M. E., Beqqali, O. E., Riffi, J., Shamshiri, R. R., Shafian, S., & Hameed, I. A. (2022) · IntechOpen eBooks · doi:10.5772/intechopen.102400 · Cited by 3
The Philos Trust Algorithm: Preventing Exploitation of Distributed Trust
Russell, P., & Brown, P. N. (2022) · IEEE International Conference on Blockchain (Blockchain) · doi:10.1109/blockchain55522.2022.00017 · Cited by 4
Adapting the Security Level of IoT Applications
Sylla, T., Chalouf, M. A., & Krief, F. (2022) · Wiley eBooks · doi:10.1002/9781394156030.ch10 · Cited by 3
Paul, G. A., Jagnani, Y., & Supraja, P. (2023) · International Conference on Vision Towards Emerging Trends in Communication and Networking (ViTECoN) · doi:10.1109/vitecon58111.2023.10157491 · Cited by 2
TruChain: A Blockchain-based Access Control to Improve the Security of Smart Water Grid Systems
Mondal, S., & Chakraborty, S. (2025) · International Conference on Communication Systems & Networks (COMSNETS) · doi:10.1109/comsnets63942.2025.10885771 · Cited by 2
Exploring Blockchain-enabled Intelligent IoT Architecture
Alkhaldi, B., & Hammad, M. (2021) · International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT) · doi:10.1109/3ict53449.2021.9581499 · Cited by 2
Michelin, R. A., Lunardi, R. C., Nunes, H. C., Dedeoglu, V., Neu, C. V., Zorzo, A. F., & Kanhere, S. S. (2021) · Advances in information security, privacy, and ethics book series · doi:10.4018/978-1-7998-5839-3.ch004 · Cited by 2
Self-citationSecuring Cyber-Physical Systems Through Blockchain-Based Digital Twins and Threat Intelligence.Preprint
Suhail, S., Jurdak, R., Matulevičius, R., & Hong, C. S. (2021) · arXiv (Cornell University) · Cited by 2
Self-citationData trust framework using blockchain and smart contracts
Rouhani, S. (2021) · HARVEST (University of Saskatchewan) · Cited by 2
Empowerment of Internet of Things Through the Integration of Blockchain Technology
Muralidharan, C., Yoosuf, M. S., & Rajkumar, Y. (2022) · Studies in big data · doi:10.1007/978-3-030-95419-2_7 · Cited by 1
Metadata
- Authors
- Dedeoglu, V., Jurdak, R., Putra, G. D., Dorri, A., & Kanhere, S. S.
- Affiliations
- Data61 (AU)
- Commonwealth Scientific and Industrial Research Organisation (AU)
- UNSW Sydney (AU)
- Venue
- Proceedings of the 16th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services
- Publisher
- ACM
- Published
- 2019-11-12
- Pages
- 190-199
- OpenAlex
- W2955398858
- Cited by
- 124
- References
- 20
- Citations by year
- 2026: 6 · 2025: 11 · 2024: 16 · 2023: 29 · 2022: 24 · 2021: 25 · 2020: 12 · 2019: 1
- FWCI
- 12.25
- Type
- conference paper
- Language
- en
- Open access
- green
- arxiv.org
- Locations
- EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (MobiQuitous) (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- arXiv (Cornell University)
- Topics
- Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
- Physical Sciences › Computer Science › Information Systems › Blockchain Technology in Education and Learning
- Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
- Keywords
- blockchain, Internet of Things, trust architecture, data trust, block verification, target localization, Internet of Things security
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