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A secure encryption-steganography method for public images using symmetric keys without prior synchronization.

Yosef Golovachev1, Ephraim Ashush2, Benjamin Milgrom3

  • 1Department of Electrical and Electronic Engineering, Jerusalem College of Technology, P.O.B 16031, 9372115, Jerusalem, Israel. yosi_habad@yahoo.com.

Scientific Reports
|June 1, 2026
PubMed
Summary

This study presents a novel hybrid encryption-steganography method for secure image communication. It enables data embedding without prior key exchange, offering high secrecy and imperceptibility against steganalysis attacks.

Keywords:
Chi-square analysisCryptographyDigital image securityEntropyImage encryptionLeast significant bit (LSB)One-time pad (OTP)Statistical detectionSteganalysisSteganographyYCbCr color space

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Area of Science:

  • Cybersecurity
  • Information Hiding
  • Digital Image Processing

Background:

  • Secure data transmission in digital images faces challenges from key interception and steganalysis.
  • Existing steganographic methods often require pre-shared keys, models, or coordination, limiting open-environment use.
  • Vulnerabilities persist in protecting sensitive information embedded within images.

Purpose of the Study:

  • To introduce a symmetric dual-key encryption-steganography hybrid for secure image communication.
  • To enable secure data transmission without key exchange or prior shared knowledge.
  • To develop a robust and transparent solution for sensitive image-based communication.

Main Methods:

  • A novel symmetric dual-key encryption-steganography hybrid approach inspired by one-time pad (OTP) principles.
  • Embedding hidden data within digital images without visible distortions or statistical artifacts.
  • Lightweight and general method not reliant on training or image-specific assumptions.

Main Results:

  • High secrecy and imperceptibility achieved in data embedding.
  • Demonstrated strong resilience against advanced steganalysis techniques.
  • Experimental validation on 100 natural images showed high visual quality (SSIM > 0.97, PSNR > 40 dB).

Conclusions:

  • The proposed method offers a practical solution for secure image-based communication.
  • It overcomes limitations of prior coordination and machine learning infrastructure.
  • Provides robust and transparent data hiding for sensitive applications.