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International Journal of Computing and Artificial Intelligence

Impact Factor (RJIF): 5.57, P-ISSN: 2707-6571, E-ISSN: 2707-658X
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2025, Vol. 6, Issue 2, Part A

Blockchain-enabled fraud detection technique for secure transactions


Author(s): Himat Singh

Abstract: As financial transactions increasingly migrate to digital platforms, fraud detection has become a critical area of concern for governments, businesses, and consumers. Traditional fraud detection systems, while effective to some degree, are often limited by their centralized architecture, vulnerability to tampering, and delayed response capabilities. This paper proposes a blockchain-based fraud detection framework that integrates smart contracts, immutable ledger design, and external data sources via oracles to improve real-time detection and prevention of fraudulent transactions. The system leverages blockchain’s transparency and automation to enhance the integrity of transaction processing while reducing reliance on centralized oversight. This work is intended as a conceptual and architectural contribution, offering a detailed model and identifying key challenges and directions for future research.

DOI: 10.33545/27076571.2025.v6.i2a.175

Pages: 33-36 | Views: 232 | Downloads: 124

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International Journal of Computing and Artificial Intelligence
How to cite this article:
Himat Singh. Blockchain-enabled fraud detection technique for secure transactions. Int J Comput Artif Intell 2025;6(2):33-36. DOI: 10.33545/27076571.2025.v6.i2a.175
International Journal of Computing and Artificial Intelligence

International Journal of Computing and Artificial Intelligence

International Journal of Computing and Artificial Intelligence
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