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Integrating Large Language Models and AI Into Blockchain: A Framework for Intelligent Smart Contracts and Fraud Detection
Open accessAbstract
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.
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Cited by
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Nainar, M., Sankaranarayanan, S., & Veeramani, K. (2026) · Scientific Reports · doi:10.1038/s41598-026-54102-1
“Intelligent automation and fraud detection is carried out using Artificial intelligence and large language models 21 .”
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
- gold
- doi.org
- 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
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- 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