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September 5, 2025Open Access

A Comprehensive Study on Encrypted Medical Image Inference Using AES, RSA, and Homomorphic Encryption Using AES, RSA, and Homomorphic Encryption

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Authors

GKG KeerthanaNUN. UshaYRY Moahana Roopa

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Overview

This research demonstrates improved performance in encrypted medical imaging, suggesting enhanced data privacy through AES and RSA methods.

Key Points

  • A substantial level of security was achieved with minimal performance overhead during medical image inference.
  • Encryption methods like AES and RSA were utilized to enhance the privacy of medical imaging data throughout its processing.
  • The system's performance was assessed based on accuracy, latency, throughput, and resistance to inference attacks.
  • Experiments showed that using homomorphic encryption in AI diagnostics can protect sensitive information during inference.

Cite This Study

Keerthana et al. (2025) studied this question.

synapsesocial.com/papers/68c239e5b210217d6477e51bhttps://doi.org/10.71097/ijsat.v16.i3.7958
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