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A Comprehensive Study on the Homomorphic Encryption for Secure Image Data Processing

Year: 2025

Type: article

Abstract: In the contemporary digital landscape, the integrity and confidentiality of data have become paramount concerns. This study presents a comprehensive framework for secure image data processing using homomorphic encryption. The proposed approach involves image preprocessing, logistic regression model training, feature extraction, and polynomial approximation to accommodate the constraints of homomorphic encryption algorithms. Sensitive data, encrypted via homomorphic algorithms, is embedded within images to ensure its concealment during computational operations. Subsequent encryption of the image using the asymmetric Rivest-Shamir-Adleman (RSA) algorithm further secures the encapsulated sensitive data. Through experimental data and analysis, the performance and speed of homomorphic encryption are compared against traditional methods, validating its efficacy in encrypted image data processing.

Source: Engineering Technology & Applied Science Research

DOI: 10.48084/etasr.10007

Authors: Qiang Chen, Huixian Li, Suriyani Binti Ariffin, Nor Atiqah Bte Mustapa

Institutions: Universiti Teknologi MARA System, Universiti Teknologi MARA, Hebei Finance University

Language: English

Topic: Cryptography and Data Security

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $431

OpenAlex ID: W4409174369

FWCI: 2.136

Cites: 6

Cited by: 5

Related to: 10