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SCD-CHAOS: dynamic S-box and chaotic hybrid adaptive image encryption using multi-map diffusion.

Biswarup Yogi¹, Raj Majumdar¹, Pritha Ghosh¹

¹Department of Computational Sciences, Brainware University, Kolkata, 700109, West Bengal, India.

Scientific Reports

|April 2, 2026

Summary

This summary is machine-generated.

SCD-CHAOS is a novel chaotic image encryption technique for Internet of Things (IoT) devices. It offers high security and real-time feasibility with low computational complexity, making it ideal for resource-constrained environments.

Keywords:

Chaotic maps Data privacy Dynamic S-box Hybrid cryptosystem Image encryption IoT security Lightweight encryption Secure transmission

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Area of Science:

Computer Science
Cryptography
Image Processing

Background:

Rapid growth of Internet of Things (IoT) devices necessitates efficient and secure encryption methods.
Existing encryption techniques often struggle to balance high security with low computational complexity for resource-constrained IoT environments.

Purpose of the Study:

To propose SCD-CHAOS, a novel hybrid chaotic image encryption technique.
To enhance security, confusion, diffusion, and key sensitivity for IoT image transmission.
To ensure real-time feasibility and deterministic reversibility.

Main Methods:

Combines dual chaotic dynamics (Tent and Henon maps) with an entropy-driven adaptive dynamic S-Box mechanism.
Employs entropy-guided nonlinear transformation and hybrid chaotic key synthesis.
Down-scales input images to [Formula: see text] for standardized benchmarking and efficiency.

Main Results:

Achieved near-ideal entropy (7.9991 bits), high NPCR (99.6226%), and low correlation coefficients, indicating strong resistance to attacks.
Demonstrated robust chaotic behavior (Lyapunov exponent up to 1.4628).
Exhibited real-time encryption (0.00619s) and decryption (0.00261s) for [Formula: see text] images with high detection performance (SSIM avg 0.9994).

Conclusions:

SCD-CHAOS provides a robust, scalable, and efficient solution for secure image transmission in IoT networks.
The technique effectively addresses the security and performance demands of next-generation IoT applications.
Its low computational complexity and real-time capabilities make it suitable for resource-constrained IoT devices.