The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.
A Blockchain-Based Authentication and Security Mechanism for IoT
Abstract
The existing identity authentication of IoT devices mostly depends on an intermediary institution, i.e., a CA server, which suffers from the single-point-failure attack. Even worse, the critical data of authenticated devices can be tampered by inner attacks without being identified. To address these issues, we utilize blockchain technology, which serves as a secure tamper-proof distributed ledger to IoT devices. In the proposed method, we assign a unique ID for each individual device and record them into the blockchain, so that they can authenticate each other without a central authority. We also design a data protection mechanism by hashing significant data (i.e. firmware) into the blockchain where any state changes of the data can be detected immediately. Finally, we implement a prototype based on an open source blockchain platform Hyperledger Fabric to verify the proposed system.
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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
“The use of blockchain is the most popular, however not mandatory for the implementation of decentralized identity as it can also be achieved with mentioned alternatives [12].”
From Decentralized and Self-Sovereign Identity: Systematic Mapping Study (2021) · cites this paper as [12]
In the citing paper
“In some decentralized proposals [26][27], a single identity is allocated for every entity and stored in the blockchain for authentication purposes.”
From Decentralized and Self-Sovereign Identity: Systematic Mapping Study (2021) · cites this paper as [27]
In the citing paper
“DIDs are globally unique decentralized identifiers, providing a means for authentication using cryptographic proofs.Allowing entities to prove control over them, without requiring permission from any third party [4][12].”
From Decentralized and Self-Sovereign Identity: Systematic Mapping Study (2021) · cites this paper as [12]
Citations
Cites
Decentralizing Privacy: Using Blockchain to Protect Personal Data
Zyskind, G., Nathan, O., & Pentland, A. '. (2015) · 2015 IEEE Security and Privacy Workshops · doi:10.1109/spw.2015.27 · Cited by 2,617
Fairaccess: a new blockchain-based access control framework for the internet of things
Ouaddah, A., Abou Elkalam, A., & Ait Ouahman, A. (2016) · Security and Communication Networks · doi:10.1002/sec.1748 · Cited by 688
Zhao, J. L., Fan, S., & Yan, J. (2016) · Financial Innovation · doi:10.1186/s40854-016-0049-2 · Cited by 581
Man-in-the-Middle Attack to the HTTPS Protocol
Callegati, F., Cerroni, W., & Ramilli, M. (2009) · IEEE Security & Privacy Magazine · doi:10.1109/msp.2009.12 · Cited by 377
Blockchain-based secure firmware update for embedded devices in an Internet of Things environment
Lee, B., & Lee, J. (2016) · The Journal of Supercomputing · doi:10.1007/s11227-016-1870-0 · Cited by 308
A secure authentication scheme based on elliptic curve cryptography for IoT and cloud servers
Kumari, S., Karuppiah, M., Das, A. K., Li, X., Wu, F., & Kumar, N. (2017) · The Journal of Supercomputing · doi:10.1007/s11227-017-2048-0 · Cited by 252
An Anti-Quantum Transaction Authentication Approach in Blockchain
Yin, W., Wen, Q., Li, W., Zhang, H., & Jin, Z. (2018) · IEEE Access · doi:10.1109/access.2017.2788411 · Cited by 132
Weaver, A. C. (2006) · Computer · doi:10.1109/mc.2006.47 · Cited by 129
Blockchain based trust & authentication for decentralized sensor networksPreprint
Moinet, A., Darties, B., & Baril, J.-L. (2017) · arXiv (Cornell University) · doi:10.48550/arxiv.1706.01730 · Cited by 123
Beyond the Hype: On Using Blockchains in Trust Management for Authentication
Αλεξόπουλος, Ν., Daubert, J., Mühlhäuser, M., & Habib, S. M. (2017) · IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom) · doi:10.1109/trustcom/bigdatase/icess.2017.283 · Cited by 76
Research works printed but not linked: 2
- rodrigues, 2017, A Blockchain-Based Architecture for Collaborative DDoS Mitigation with Smart Contracts[C], IFIP International Conference on Autonomous Infrastructure Management and Security, 16
- nakamoto, 2008, Bitcoin: A peer-to-peer electronic cash system[J], Consulted
Cited by
Sorted by citations
Embedding Blockchain Technology Into IoT for Security: A Survey
Xu, L. D., Lu, Y., & Li, L. (2021) · IEEE Internet of Things Journal · doi:10.1109/jiot.2021.3060508 · Cited by 425
A decentralized lightweight blockchain-based authentication mechanism for IoT systems
Khalid, U., Asim, M., Baker, T., Hung, P. C. K., Tariq, M. A., & Rafferty, L. (2020) · Cluster Computing · doi:10.1007/s10586-020-03058-6 · Cited by 305
Security and privacy issues in smart cities/industries: technologies, applications, and challenges
Rao, P. M., & Deebak, B. D. (2022) · Journal of Ambient Intelligence and Humanized Computing · doi:10.1007/s12652-022-03707-1 · Cited by 194
Multi-Layer Blockchain-Based Security Architecture for Internet of Things
Pajooh, H. H., Rashid, M. A., Alam, F., & Demidenko, S. N. (2021) · Sensors · doi:10.3390/s21030772 · Cited by 159
A Cross-Chain Solution to Integrating Multiple Blockchains for IoT Data Management
Jiang, Y., Wang, C., Wang, Y., & Gao, L. (2019) · Sensors · doi:10.3390/s19092042 · Cited by 138
Metadata
- Authors
- Li, D., Peng, W., Deng, W., & Gai, F.
- Affiliations
- National University of Defense Technology (CN)
- Venue
- 2018 27th International Conference on Computer Communication and Networks (ICCCN)
- Publisher
- IEEE
- Published
- 2018-07
- Pages
- 1-6
- ISSN
- 1095-2055 (ISSN-L)
- OpenAlex
- W2897993795
- Cited by
- 179
- References
- 15
- Citations by year
- 2026: 5 · 2025: 14 · 2024: 23 · 2023: 42 · 2022: 32 · 2021: 33 · 2020: 22 · 2019: 8
- FWCI
- 12.36
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- International Conference on Computer Communications and Networks (ICCCN) (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
- Physical Sciences › Computer Science › Computer Networks and Communications › Advanced Authentication Protocols Security
- Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
- Keywords
- blockchain, Internet of Things security, device authentication, identity verification, distributed ledger technology, tamper detection, Hyperledger Fabric, decentralized trust
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