The DOI matches its Crossref record; 0 of the 1 references it cites were found in a registry or an index.
Blockchain and the Internet of Things in the Industrial Sector
Abstract
Blockchain and the Internet of Things (IoT) are key technologies that will have a huge impact in the next 10 years for companies in the industrial market. This article describes how these two technologies will improve efficiencies, provide new business opportunities, address regulatory requirements, and improve transparency and visibility.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“In the case of mining, different consensus mechanisms have been proposed to develop alternatives greener than traditional PoW schemes (e.g., Proofof-Stake, Proof-of-Space [75]), but further research is required.”
From A Review on the Application of Blockchain to the Next Generation of Cybersecure Industry 4.0 Smart Factories (2019) · cites this paper as [75]
Citations
Cites
The Self-Driving Car Timeline – Predictions from the Top 11 Global Automakers
walker (2017) · TechEmergence blog
Unresolved
Cited by
Sorted by citations
Chowdhury, M. Z., Shahjalal, M. A., Ahmed, S., & Jang, Y. M. (2020) · IEEE Open Journal of the Communications Society · doi:10.1109/ojcoms.2020.3010270 · Cited by 1,925
“Blockchain: Blockchain will be an important technology to manage massive data in future communication systems [43]– [45] .”
BackgroundA Survey on IoT Security: Application Areas, Security Threats, and Solution Architectures
Hassija, V., Chamola, V., Saxena, V., Jain, D., Goyal, P., & Sikdar, B. (2019) · IEEE Access · doi:10.1109/access.2019.2924045 · Cited by 1,445
“distributed, decentralized and shared ledger [108].”
A systematic literature review of blockchain cyber security
Taylor, P. J., Dargahi, T., Dehghantanha, A., Parizi, R. M., & Choo, K. R. (2019) · Digital Communications and Networks · doi:10.1016/j.dcan.2019.01.005 · Cited by 685
Industrial internet of things: Recent advances, enabling technologies and open challenges
Khan, W. Z., Rehman, M. H. U., Zangoti, H. M., Afzal, M. K., Armi, N., & Salah, K. (2019) · Computers & Electrical Engineering · doi:10.1016/j.compeleceng.2019.106522 · Cited by 618
Leveraging the Internet of Things and Blockchain Technology in Supply Chain Management
Rejeb, A., Keogh, J. G., & Treiblmaier, H. (2019) · Future Internet · doi:10.3390/fi11070161 · Cited by 538
“Regulators‚ suppliers of machinery and spare parts‚, as well as repair and maintenance service providers, could gain shared access to equipment records and provide inspections and certifications to achieve high equipment availability and utilization [119].”
Background
Metadata
- Authors
- Miller, D.
- Affiliations
- IBM
- Corresponding author
- Miller, Dennis
- Venue
- IT Professional
- Published
- 2018-05
- Volume
- 20
- Issue
- 3
- Pages
- 15-18
- ISSN
- 1520-9202 (ISSN-L)
- 1941-045X
- OpenAlex
- W2807998273
- Cited by
- 272
- References
- 1
- Citations by year
- 2026: 4 · 2025: 6 · 2024: 22 · 2023: 27 · 2022: 47 · 2021: 51 · 2020: 53 · 2019: 54 · 2018: 8
- FWCI
- 66.93
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- IT Professional (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
- Social Sciences › Decision Sciences › Management Science and Operations Research › Impact of AI and Big Data on Business and Society
- Keywords
- blockchain, Internet of Things, manufacturing industry, industrial efficiency, business opportunities, regulatory compliance, transparency, supply chain visibility
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
