Financial Data Sharing Based on Cloud Computing Security: the Application and Effectiveness of Homomorphic Encryption Technology

With the deep penetration of cloud computing in the financial industry, the convergence amount of financial data in the cloud continues to climb, and the problem of data security has become a bottleneck restricting the development of the financial data sharing. Traditional security protection means, such as access control, data encryption and storage, etc., gradually expose their limitations in the face of increasingly complex network attacks and diversified data use scenarios, and homomorphic encryption technology arises at the historic moment. This paper constructs a financial data security sharing scheme including financial institutions, financial certification center, Credit Data Statistics Center and financial key management center. The scheme first encrypts customer credit data and uploads it, then computes the encrypted data, and finally returns the ciphertext result to be decrypted by financial institutions. It not only ensures data privacy, but also realizes data sharing, and provides practical methods for financial institutions to prevent non-performing loans. As standardization efforts progress and computational overheads diminish, homomorphic encryption is expected to underpin next-generation secure financial infrastructures, fostering innovation in personalized financial services and regulatory compliance frameworks.

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Publication Details

Published
2025-05-09
DOI
https://doi.org/10.1109/bigdatasecurity66063.2025.00029
Citations
1
Primary Topic
Big Data Technologies and Applications
Type
article
Field-Weighted Citation Impact
4.17
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article

Financial Data Sharing Based on Cloud Computing Security: the Application and Effectiveness of Homomorphic Encryption Technology

Rekha Rao
1 citations
Big Data Technologies and Applications
4.17
article

Financial Data Sharing Based on Cloud Computing Security: the Application and Effectiveness of Homomorphic Encryption Technology

Rekha Rao
article en
1 citations

Abstract

With the deep penetration of cloud computing in the financial industry, the convergence amount of financial data in the cloud continues to climb, and the problem of data security has become a bottleneck restricting the development of the financial data sharing. Traditional security protection means, such as access control, data encryption and storage, etc., gradually expose their limitations in the face of increasingly complex network attacks and diversified data use scenarios, and homomorphic encryption technology arises at the historic moment. This paper constructs a financial data security sharing scheme including financial institutions, financial certification center, Credit Data Statistics Center and financial key management center. The scheme first encrypts customer credit data and uploads it, then computes the encrypted data, and finally returns the ciphertext result to be decrypted by financial institutions. It not only ensures data privacy, but also realizes data sharing, and provides practical methods for financial institutions to prevent non-performing loans. As standardization efforts progress and computational overheads diminish, homomorphic encryption is expected to underpin next-generation secure financial infrastructures, fostering innovation in personalized financial services and regulatory compliance frameworks.

Shanghai University of Finance and Economics (CN)
Openalex Percentile: Top 6%
Big Data Technologies and Applications
4.17
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