Cited by 7Blockchain Technology Applications and SecurityBlockchain Technology in Education and LearningImpact of AI and Big Data on Business and Society

The DOI matches its Crossref record.

Integrating Large Language Models and AI Into Blockchain: A Framework for Intelligent Smart Contracts and Fraud Detection

Open access
Ahmed, Rana Hassam, Sultana, Jabeen, Zahid, Samraiz, Habib, Muhammad Asif, Rauf, Abdul, Hussain, Majid·2025·IEEE Access

Abstract

The convergence of Artificial Intelligence (AI) and Large Language Models (LLMs) with blockchain technology is transforming information systems by enhancing their efficiency, security, and decision-making capabilities. This research explores the integration of AI and LLMs, such as GPT and BERT, into blockchain-based information systems to address challenges related to data integrity, transaction processing, and smart contract automation. A layered architecture is proposed, comprising an AI-powered query engine, an LLM-enhanced decision-making layer, and a data synchronisation module bridging on-chain and off-chain environments. The system evaluation highlights significant improvements in transaction efficiency, query accuracy, energy savings, and security threat detection rates. Experimental results demonstrate a 32% reduction in transaction latency, a 20.5% increase in fraud detection accuracy, and a 23% reduction in energy consumption. These findings underscore the viability of integrating AI and LLMs with blockchain technology for developing intelligent, secure, and scalable information systems.

Overview

Integrity signals

Registry

Crossref · 10.1109/access.2025.3622511

Cites

Statistics

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

Verification

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.

Citations

Cites

No references could be resolved yet.

Research works printed but not linked: 28

  1. 10.1109/JPROC.2024.3386257 · DOI
  2. Ullah, 2024, The role of LLMs in sustainable smart cities: Applications, challenges, and future directions, arXiv:2402.14596 · arXiv
  3. 10.1109/LNET.2023.3238964 · DOI
  4. 10.1201/9781003162018-3 · DOI
  5. 10.1109/COMST.2023.3315746 · DOI · Paper page
  6. 10.1007/979-8-8688-1402-0_5 · DOI
  7. 10.1007/978-981-99-9247-8_46 · DOI
  8. 10.1109/ACCESS.2025.3555753 · DOI
  9. 10.1109/ICRITO61523.2024.10522332 · DOI
  10. 10.1109/TKDE.2024.3392335 · DOI · Paper page
  11. 10.1007/978-981-97-1249-6_4 · DOI
  12. 10.1002/9781394303564.ch23 · DOI
  13. 10.1109/OJCOMS.2024.3456549 · DOI
  14. 10.1109/JIOT.2024.3507746 · DOI
  15. Aakula, 2024, Leveraging AI and blockchain for strategic advantage in digital transformation, J. Artif. Intell. Res., 4, 356
  16. 10.3390/info15050268 · DOI
  17. 10.1109/JIOT.2023.3313055 · DOI
  18. 10.1007/s10723-024-09751-9 · DOI
  19. 10.1109/TIFS.2024.3420126 · DOI · Paper page
  20. 10.1109/ACCESS.2025.3528035 · DOI
  21. 10.1109/ICIT59216.2023.10335787 · DOI
  22. 10.1109/ACCESS.2022.3203568 · DOI
  23. 10.4018/979-8-3373-0593-6.ch005 · DOI
  24. 10.1109/ICIT59216.2023.10335701 · DOI
  25. 10.1109/comst.2025.3564333 · DOI
  26. 10.1109/ACCESS.2024.3389497 · DOI
  27. 10.1109/ICICS65354.2025.11072955 · DOI
  28. 2025, DAppSCAN: Building Large-Scale Datasets for Smart Contract Weaknesses in DApp Projects

Cited by

Sorted by citations

See all 7

Metadata

Authors
Ahmed, R. H., Sultana, J., Zahid, S., Habib, M. A., Rauf, A., & Hussain, M.
Affiliations
  • University of Faisalabad (PK)
  • Imam Mohammad ibn Saud Islamic University (SA)
Venue
IEEE Access
Published
2025
Volume
13
Pages
181323-181335
ISSN
2169-3536 (ISSN-L)
OpenAlex
W4415250778
Cited by
7
References
0
Citations by year
2026: 7
FWCI
7.34
Type
journal article
Language
en
Open access
Locations
  • IEEE Access (publishedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
Deanship of Scientific Research at Imam Mohammad Ibn Saud Islamic University (IMSIU-DDRSP2503)
Topics
  • Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
  • Physical Sciences › Computer Science › Information Systems › Blockchain Technology in Education and Learning
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Impact of AI and Big Data on Business and Society
Keywords
large language models, blockchain, smart contracts, fraud detection, transaction latency, energy consumption reduction, security threat detection, GPT, BERT, layered architecture

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

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Integrating Large Language Models and AI Into Blockchain: A Framework for Intelligent Smart Contracts and Fraud Detection. https://app.cochat.ai/papers/10.1109/access.2025.3622511
The paper
Ahmed, R. H., Sultana, J., Zahid, S., Habib, M. A., Rauf, A., & Hussain, M. (2025). Integrating Large Language Models and AI Into Blockchain: A Framework for Intelligent Smart Contracts and Fraud Detection. IEEE Access. https://doi.org/10.1109/access.2025.3622511