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     2026:7/2

International Journal of Multidisciplinary Research and Growth Evaluation

ISSN: (Print) | 2582-7138 (Online) | Impact Factor: 9.54 | Open Access

Enhance Cloud Security for Financial Data with Blockchain Integration and ECC Encryption

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Abstract

Cloud computing quickly transformed financial data management into scalable and efficient solutions. Benefits are coupled with substantial security threats requiring robust protection. Innovative security architecture that integrates Blockchain technology with Elliptic Curve Cryptography to enhance financial data security in cloud platforms has been suggested. Blockchain provides data with transparency and immutability by reducing possibility of illegal interference and ECC provides strong encryption at low processing expenses. BERT and GPT are better at identifying anomalies and making predictions. AI algorithms identify fraudulent transactions through monitoring cultural patterns in transactions and behavioral irregularities. This encompasses secure cloud storage technologies employing distributed ledgers and encrypted announcement channels to prevent data breaches and illegal access. It is tested with financial datasets proving improvements in business security, encryption speed and fraud detection accuracy. Experimental results reveal 99.2 percent security strength with low latency and computational overhead suitable for secure cloud-based economic services. Smart contracts ease verification operations ensuring adherence to financial security regulations and highpoints essential role of Blockchain and ECC in enhancing cloud security and lays foundation for future research into financial cybersecurity. Emphasize importance of combining AI-driven fraud detection with top-level encryption methods to create adaptive, expandable and secure financial system.

How to Cite This Article

Maciej Motak (2020). Enhance Cloud Security for Financial Data with Blockchain Integration and ECC Encryption . International Journal of Multidisciplinary Research and Growth Evaluation (IJMRGE), 1(4), 67-76. DOI: https://doi.org/10.54660/.IJMRGE.2020.1.4.67-76

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