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Differential Imaging of Biological Structures with Doubly-resonant Coherent Anti-stokes Raman Scattering CARS

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Securing digital images: A chaos-driven scrambling algorithm using the Rössler system.

Nasreen Zulfiqar¹, Tauqir Ahmad¹, Taher M Ghazal²

¹Department of Computer Science, UET, Lahore, Pakistan.

|June 25, 2025

Summary

This summary is machine-generated.

This study introduces a novel image scrambling algorithm using row and column permutations, enhanced by chaotic system diffusion. The method offers robust security against cryptanalytic attacks for digital image encryption.

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Multiplex Chemical Imaging Based on Broadband Stimulated Raman Scattering Microscopy

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Published on: July 25, 2022

Area of Science:

Computer Science
Cryptography
Image Processing

Background:

Digital image security is crucial, with scrambling algorithms widely used for pixel-level security.
Existing methods often use 1D, 2D, or 3D constructs for pixel manipulation.

Purpose of the Study:

To develop a novel, secure, and efficient image scrambling algorithm.
To enhance digital image protection against various cryptanalytic threats.

Main Methods:

A novel row- and column-based scrambling technique is proposed.
A diffusion process utilizes the 3D Rössler chaotic system for random number generation.
The algorithm applies scrambling twice to rows and columns, followed by XOR diffusion.

Main Results:

The proposed algorithm demonstrates high resistance to brute-force, differential, noise, and data cropping attacks.
Machine simulations and security analyses validate the method's effectiveness.
The developed image cipher offers significant security potential.

Conclusions:

The novel scrambling and diffusion technique provides a robust solution for secure digital image encryption.
The method is recommended for real-world applications requiring high image security.
The 3D Rössler chaotic system effectively enhances both scrambling and diffusion processes.