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A Data Sharing Model for Blockchain Trusted Sensor Leveraging Mimic Hash Mechanism
Open accessAbstract
Blockchain, as a distributed trust database, has been widely applied in the field of trustworthy sharing of Internet of Things (IoT) sensor data. A single hash mechanism has achieved, to some extent, the trustworthy on-chain storage of blockchain sensor data, that is, the consistency of data on and off the chain. However, it still faces potential security risks such as collision attacks, short password attacks, and rainbow table attacks. To address this issue, this paper proposes a resiliently secure blockchain sensor data trustworthy sharing model based on a mimic hash mechanism. Specifically, in response to the security risks that may arise from the single hash mechanism, this study innovatively introduces a mimic hash mechanism and proposes two methods for constructing mimic hashes based on Verifiable Random Function (VRF) and Cyber Mimic Defense (CMD) in dedicated Wireless Sensor Networks (WSNs) and open public networks, respectively. Theoretical analysis and experimental results demonstrate that this model effectively solves the problem of trustworthy on-chain storage of sensor data in edge computing environments, enhancing the trustworthiness and security of the data on the chain.
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The cybersecurity landscape of the railway sector is defined by the coexistence of IT, OT, and sensor networks-each governed by different architectures, standards, and life cycles.
“The cybersecurity landscape of the railway sector is defined by the coexistence of information technology (IT), operational technology (OT), and sensor networks—each governed by different architectures, standards, and life cycles [6,7,15,16,17].”
From Sensor-Based Cyber Risk Management in Railway Infrastructure Under the NIS2 Directive (2025) · cites this paper as [17]
Section 4.2 (Network Deployment) describes a wireless sensor network alongside edge and cloud networks, but does not discuss railway cybersecurity or the coexistence of IT, OT, and sensor networks with different standards and life cycles. Searches for railway IT/OT infrastructure and those distinctions found no passage addressing the claim. (LLM, conf=0.75)
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Research works printed but not linked: 23
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Sensor-Based Cyber Risk Management in Railway Infrastructure Under the NIS2 Directive
Wachnik, R., Chruzik, K., & Pochopień, B. (2025) · Sensors · doi:10.3390/s25237384 · Cited by 4
Metadata
- Authors
- Quan, G., Yao, Z., Si, X., Zhu, W., & Chen, L.
- Affiliations
- Zhongyuan University of Technology (CN)
- Corresponding author
- Yao, Zhongyuan
- Venue
- Electronics
- Publisher
- MDPI AG
- Published
- 2024-04-14
- Volume
- 13
- Issue
- 8
- Pages
- 1495
- ISSN
- 2079-9292 (ISSN-L)
- OpenAlex
- W4394814161
- Cited by
- 9
- References
- 0
- Citations by year
- 2026: 2 · 2025: 7
- FWCI
- 2.36
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Electronics (publishedVersion, cc-by)
- Funders
- Key Research Project for Higher Education of Henan Province (24A520059, YYJC032022021, LNCT2022- A12, YKY2023ZK52)
- Project of SongShan Laboratory (24A520059, YYJC032022021, LNCT2022- A12, YKY2023ZK52)
- Open Fund of Henan Key Laboratory of Network Cryptography Technology (24A520059, YYJC032022021, LNCT2022- A12, YKY2023ZK52)
- Postgraduate Research and Innovation Project of Zhongyuan University of Technology (24A520059, YYJC032022021, LNCT2022- A12, YKY2023ZK52)
- Topics
- Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
- Physical Sciences › Computer Science › Computer Networks and Communications › Cryptography and Data Security
- Physical Sciences › Computer Science › Information Systems › Blockchain Technology in Education and Learning
- Keywords
- blockchain, Internet of Things sensor data, data sharing, hash collision attacks, verifiable random functions, wireless sensor networks, edge computing, data consistency
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