Cited by 179Blockchain Technology Applications and SecurityAdvanced Authentication Protocols SecurityIoT and Edge/Fog Computing

A Blockchain-Based Authentication and Security Mechanism for IoT

Li, Dongxing, Peng, Wei, Deng, Wenping, Gai, Fangyu·2018·2018 27th International Conference on Computer Communication and Networks (ICCCN)

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.

Integrity signals

Registry

Crossref · 10.1109/icccn.2018.8487449

Cites

15 of 15 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

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?

  • The use of blockchain is the most popular, however not mandatory, for the implementation of decentralized identity.

    “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].”
  • In some decentralized proposals, a single identity is allocated for every entity and stored in the blockchain for authentication purposes.

    “In some decentralized proposals [26][27], a single identity is allocated for every entity and stored in the blockchain for authentication purposes.”
  • 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.

    “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].”

Cites

Flagged first, then by citations

Cited by

Sorted by citations

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

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