Financial Privacy Information Protection Scheme Based on Data Encryption Algorithm

In the current digital age, it is authoritative to provide security for sensitive financial data in the aftermath of rising cyber-attacks. It proposes a safe method to defend financial data finished the combination of RSA-based key generation with Fully Homomorphic Encryption (FHE). The system confirms confidentiality, data integrity, and arrangement with rules done the addition of strong encryption methods, user verification, and cloud storage security. FHE proposals computation over ciphertext without decrypting, confirming confidentiality of financial information at the time of processing. The system uses RSA-based cryptography for making secure public and private keys, while user verification and role-based admission control settle that unauthorized user cannot admission or adapt the information. Experimental results confirm the efficacy of the scheme charted here, with a neat reliability between RSA key size and key generation time, where 2048 bits use about 0.35 seconds and 4096 bits use about 0.55 seconds. FHE encryption time also varies with the encryption values, with increasing processing time linearly with the encryption values, from 0.004 seconds for small encryption values to 3.25 seconds for large values. The results also point to a data security vs. processing performance trade-off and settle that the proposed framework delivers a feasible, scalable, and safe means of managing financial data in cloud computing systems.

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Publication Details

Journal
International Journal of Software Engineering and Knowledge Engineering
Published
2026-04-16
DOI
https://doi.org/10.1142/s0218194026410044
Primary Topic
Cryptography and Data Security
Type
article
Field-Weighted Citation Impact
0.00
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article

Financial Privacy Information Protection Scheme Based on Data Encryption Algorithm

Chaobing Wei, Hanyang Xie, Zhiyong Xie, Yuping Yan et al.
International Journal of Software Engineering and Knowledge Engineering
Cryptography and Data Security
article

Financial Privacy Information Protection Scheme Based on Data Encryption Algorithm

Chaobing Wei, Hanyang Xie, Zhiyong Xie, Yuping Yan, Shaoyan Jiang, Yanning Shao
article en

Abstract

In the current digital age, it is authoritative to provide security for sensitive financial data in the aftermath of rising cyber-attacks. It proposes a safe method to defend financial data finished the combination of RSA-based key generation with Fully Homomorphic Encryption (FHE). The system confirms confidentiality, data integrity, and arrangement with rules done the addition of strong encryption methods, user verification, and cloud storage security. FHE proposals computation over ciphertext without decrypting, confirming confidentiality of financial information at the time of processing. The system uses RSA-based cryptography for making secure public and private keys, while user verification and role-based admission control settle that unauthorized user cannot admission or adapt the information. Experimental results confirm the efficacy of the scheme charted here, with a neat reliability between RSA key size and key generation time, where 2048 bits use about 0.35 seconds and 4096 bits use about 0.55 seconds. FHE encryption time also varies with the encryption values, with increasing processing time linearly with the encryption values, from 0.004 seconds for small encryption values to 3.25 seconds for large values. The results also point to a data security vs. processing performance trade-off and settle that the proposed framework delivers a feasible, scalable, and safe means of managing financial data in cloud computing systems.

International Journal of Software Engineering and Knowledge Engineering
Twitter (United States) (US)
Peace, Justice and strong institutions
Openalex Percentile: Top 12%
Cryptography and Data Security
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Financial Privacy Information Protection Scheme Based on Data Encryption Algorithm — Chaobing Wei, Hanyang Xie, et al. · International Journal of Software Engineering and Knowledge Engineering (2026) | TGRS Research Map | TGRS