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Secure gray image sharing framework with adaptive key generation using image digest.

C Nithya1, C Lakshmi2, K Thenmozhi1

  • 1School of Electrical & Electronics Engineering, SASTRA Deemed University, Thanjavur, 613 401, India.

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|March 15, 2025
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Summary
This summary is machine-generated.

This study introduces a novel image encryption method to protect multimedia data. The algorithm ensures Confidentiality-Integrity-Authenticity (CIA triad) for secure information sharing in digital networks.

Keywords:
CIA triadHash algorithmImage encryptionInformation securityLorenz attractorOne-way authentication

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Area of Science:

  • Computer Science
  • Information Security
  • Cryptography

Background:

  • Digital age necessitates secure data transmission and privacy management.
  • Multimedia data sharing is vulnerable over public networks.
  • Robust encryption requires confusion and diffusion strategies.

Purpose of the Study:

  • To ensure the Confidentiality-Integrity-Authenticity (CIA triad) of images.
  • To develop a secure image encryption and authentication framework.
  • To mitigate vulnerabilities in multimedia data sharing.

Main Methods:

  • Proposed an image-specific encryption algorithm using confusion and diffusion.
  • Generated a one-way hash value as a digital fingerprint for integrity.
  • Utilized Lorentz attractor for random index generation in confusion.
  • Implemented a one-way Authentication token (Authtoken) generator.

Main Results:

  • Achieved an average entropy of 7.97871.
  • Obtained a correlation coefficient of 0.00337.
  • Demonstrated applicability through various CIA-related metrics.

Conclusions:

  • The proposed framework provides a comprehensive solution for the CIA triad in image transmission.
  • The security solution ensures data integrity, confidentiality, and authenticity.
  • The system is effective for secure multimedia data sharing.