A Symmetric Key Reversible Data Hiding Framework for Online Healthcare Systems using LSB Steganography and SHA-256

Authors

  • Sasmita Dash School of Computer Engineering, KIIT University, Bhubaneswar, Odisha, India.
  • Jayanta Mondal School of Computer Engineering, KIIT University, Bhubaneswar, Odisha, India.
  • Debabala Swain Department of Computer Science, Rama Devi Women's University, Bhubaneswar, Odisha, India.
  • Orlando Miguel Rodolfo School of Computer Engineering, KIIT University, Bhubaneswar, Odisha, India.
  • Debabrata Swain Department of Computer Science and Engineering, Pandit Deendayal Energy University , Gandhinagar, Gujarat, India.

DOI:

https://doi.org/10.70917/ijcisim-2026-2289

Keywords:

Reversible Data Hiding, Medical Image Security, Lossless Recovery, XOR Encryption, LSB Steganography, Integrity Preservation, SHA-256 Hashing, Electronic Patient Record

Abstract

This research presents a reversible encryption framework for the security of medical images while maintaining the integrity, quality and confidentiality in electronic patient records (EPR) transmission. It achieves integrity and quality preservation, lossless recovery, and robust security through hybrid architecture of cryptographic and steganographic techniques. Using reversible XOR based encryption and Least Significant Bit (LSB) steganography it makes sure to perfect reconstruct the medical image and Electronic Patient Record (EPR) without any loss, different from the traditional encryption methods that has potential to introduce distortions in compression. SHA-256 hashing can ensure integrity verification, detects any modification in transmission. The architecture ensures MSE = 0, PSNR = ∞, SSIM = 1, which means 100% of lossless recovery and perfect visual coherence. The dual layer encryption process—encrypting the medical image with a dynamic key stream followed by encrypting with using the EPR—provides security, imperceptibility and steganalysis resistance. Experimental results confirm that the architecture is suitable for medical imaging applications where precise diagnostic and data confidentiality in data is critical.

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Published

2026-06-23

How to Cite

Sasmita Dash, Jayanta Mondal, Debabala Swain, Orlando Miguel Rodolfo, & Debabrata Swain. (2026). A Symmetric Key Reversible Data Hiding Framework for Online Healthcare Systems using LSB Steganography and SHA-256. International Journal of Computer Information Systems and Industrial Management Applications, 18(1s), 377–390. https://doi.org/10.70917/ijcisim-2026-2289

Issue

Section

Original Articles