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Cited by 180Blockchain Technology Applications and SecurityCryptography and Data SecurityIoT and Edge/Fog Computing

The DOI matches its Crossref record; 35 of the 35 references it cites were found in a registry or an index.

Privacy-Oriented Blockchain-Based Distributed Key Management Architecture for Hierarchical Access Control in the IoT Scenario

Open access
Ma, Mingxin, Shi, Guozhen, Li, Fenghua·2019·IEEE Access
DOI 10.1109/access.2019.2904042
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Abstract

The rapid development of the Internet of Things (IoT) and the explosive growth of valuable data produced by user equipment have led to strong demand for access control, especially hierarchical access control, which is performed from a group communication perspective. However, the key management strategies for such a future Internet are based mostly on a trusted third party that requires full trust of the key generation center (KGC) or central authority (CA). Recent studies indicate that centralized cloud centers will be unlikely to deliver satisfactory services to customers because we place too much trust in third parties; therefore, these centers do not apply to user privacy-oriented scenarios. This paper addresses these issues by proposing a novel blockchain-based distributed key management architecture (BDKMA) with fog computing to reduce latency and multiblockchains operated in the cloud to achieve cross-domain access. The proposed scheme utilizes blockchain technology to satisfy the decentralization, fine-grained auditability, high scalability, and extensibility requirements, as well as the privacy-preserving principles for hierarchical access control in IoT. We designed system operations methods and introduced different authorization assignment modes and group access patterns to reinforce the extensibility. We evaluated the performance of our proposed architecture and compared it with existing models using various performance measures. The simulation results show that the multiblockchain structure substantially improves system performance, and the scalability is excellent as the network size increases. Furthermore, dynamic transaction collection time adjustment enables the performance and system capacity to be optimized for various environments.

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Research works printed but not linked: 7

  1. 2000, Standards for efficient cryptography - SEC 2 Recommended elliptic curve domain parameters
  2. antonopoulos, 2014, Mastering Bitcoin Unlocking Digital Cryptocurrencies
  3. vasin, 2014, Blackcoins proof-of-stake protocol v2
  4. 2009, Delegated Proof-of-Stake Consensus
  5. 2017, IoT Developer Survey
  6. 2016, Antshares digital assets for everyone
  7. dai, 2009, Crypto++ library 8 0

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Metadata

Authors
Ma, M., Shi, G., & Li, F.
Affiliations
  • Xidian University (CN)
  • Beijing Electronic Science and Technology Institute (CN)
  • Chinese Academy of Sciences (CN)
ORCID
Venue
IEEE Access
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Published
2019
Volume
7
Pages
34045-34059
ISSN
2169-3536 (ISSN-L)
DOI
10.1109/access.2019.2904042
OpenAlex
W2922354596
Cited by
180
References
35
Citations by year
2026: 8 · 2025: 11 · 2024: 25 · 2023: 24 · 2022: 39 · 2021: 31 · 2020: 31 · 2019: 11
FWCI
34.80
Type
journal article
Language
en
Open access
Licence
ieeexplore.ieee.org/Xplorehelp/downloads/license-information/OAPA.html (vor)
Locations
  • IEEE Access (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
National Key Research Program of China (2017YFB0801803, 2016YFB0800304, 2017YFB0802705)
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 › Computer Networks and Communications › IoT and Edge/Fog Computing
Keywords
blockchain, distributed key management, hierarchical access control, Internet of Things, user privacy, fog computing, cross-domain access, group discussion, decentralized key management

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