The DOI matches its Crossref record; 0 of the 8 references it cites were found in a registry or an index.
Securing user identity and transactions symbiotically: IoT meets blockchain
Abstract
Swarms of embedded devices provide new challenges for privacy and security. We propose Permissioned Blockchains as an effective way to secure and manage these systems of systems. A long view of blockchain technology yields several requirements absent in extant blockchain implementations. Our approach to Permissioned Blockchains meets the fundamental requirements for longevity, agility, and incremental adoption. Distributed Identity Management is an inherent feature of our Permissioned Blockchain and provides for resilient user and device identity and attribute management.
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
“Various works to develop secure light-weight IoT architecture based on the blockchain technology have been proposed in the literature [178-180].”
From A Review of Blockchain Architecture and Consensus Protocols: Use Cases, Challenges, and Solutions (2019) · cites this paper as [179]
Citations
Cites
Untitled work
(0)
UnresolvedUntitled work
(0)
UnresolvedUntitled work
(0)
UnresolvedUntitled work
(0)
UnresolvedUntitled work
(0) · Permissioning Your Blockchain How to Overlay Hyperledger Fabric with a Fully Workable System Tapestry
UnresolvedUntitled work
(0)
UnresolvedUntitled work
(0)
UnresolvedUntitled work
(0) · Pindar Wong keynote abstract
Unresolved
Cited by
Sorted by citations
Casino, F., Dasaklis, T. K., & Patsakis, C. (2018) · Telematics and Informatics · doi:10.1016/j.tele.2018.11.006 · Cited by 2,954
A Review on the Use of Blockchain for the Internet of Things
Fernandez-Carames, T. M., & Fraga-Lamas, P. (2018) · IEEE Access · doi:10.1109/access.2018.2842685 · Cited by 1,078
Applications of Blockchains in the Internet of Things: A Comprehensive Survey
Ali, M. S., Vecchio, M., Pincheira, M., Dolui, K., Antonelli, F., & Rehmani, M. H. (2019) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2018.2886932 · Cited by 855
“Kravitz and Cooper [168] use permissioned blockchains to propose a solution for distributed identity management.”
BackgroundA Survey of Blockchain Technology Applied to Smart Cities: Research Issues and Challenges
Xie, J., Tang, H., Huang, T., Yu, F. R., Xie, R., Liu, J., & Liu, Y. (2019) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2019.2899617 · Cited by 786
“In [266], the blockchain technology is used to store the identities and attributes of both users and devices.”
MethodSurvey on blockchain for Internet of Things
Wang, X., Zha, X., Ni, W., Liu, R. P., Guo, Y. J., Niu, X., & Zheng, K. (2019) · Computer Communications · doi:10.1016/j.comcom.2019.01.006 · Cited by 567
Metadata
- Authors
- Kravitz, D. W., & Cooper, J.
- Affiliations
- Universidade Estadual de Campinas (UNICAMP) (BR)
- Venue
- 2017 Global Internet of Things Summit (GIoTS)
- Publisher
- IEEE
- Published
- 2017-06
- Pages
- 1-6
- OpenAlex
- W2746343748
- Cited by
- 110
- References
- 8
- Citations by year
- 2025: 1 · 2024: 7 · 2023: 17 · 2022: 11 · 2021: 18 · 2020: 15 · 2019: 28 · 2018: 12 · 2017: 1
- FWCI
- 11.76
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- Global Internet of Things Summit (GIoTS) (publishedVersion)
- 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 › Cryptography and Data Security
- Keywords
- permissioned blockchain, Internet of Things security, user identity, device identity, attribute management, privacy, embedded devices, blockchain scalability
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
