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Fabrication of Flexible Image Sensor Based on Lateral NIPIN Phototransistors

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A Multilayer Nonlinear Permutation Framework and Its Demonstration in Lightweight Image Encryption.

Cemile İnce¹, Kenan İnce², Davut Hanbay¹

¹Department of Computer Engineering, İnönü University, Malatya 44280, Türkiye.

Entropy (Basel, Switzerland)

|October 25, 2024

Summary

This summary is machine-generated.

This study introduces a novel lightweight image encryption method using nonlinear matrix permutation and chaotic maps. It offers robust security for resource-constrained devices like mobile and IoT, achieving high performance in a single iteration.

Keywords:

chaotic permutation cryptography image encryption lightweight encryption nonlinear permutation

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Area of Science:

Computer Science
Information Security
Cryptography

Background:

Data security is critical in widespread information systems, especially for multimedia data.
Traditional encryption struggles with images/videos, necessitating specialized approaches.
Lightweight image encryption is vital for mobile and Internet of Things (IoT) devices due to resource constraints.

Purpose of the Study:

To develop a novel nonlinear matrix permutation approach for lightweight image encryption.
To enhance both confusion and diffusion phases using a combination of chaotic maps.
To provide a secure and efficient encryption framework for resource-limited environments.

Main Methods:

A nonlinear matrix permutation technique was developed for image encryption.
Three chaotic maps (2D Zaslavsky, 1D Chebyshev, 1D logistic) were used to generate permutation and diffusion sequences.
The proposed scheme was evaluated on 14 color images from the SIPI dataset.

Main Results:

The method achieved high performance, processing each image in a single iteration.
Key performance metrics include high average NPCR (99.6122) and UACI (33.4690).
Low average correlation (0.0006) and high information entropy (7.9993) indicate strong security with a large key space (2^800).

Conclusions:

The proposed nonlinear matrix permutation approach is effective for lightweight image encryption.
It offers a robust and efficient alternative for securing images on mobile and IoT devices.
The harmonious use of chaotic maps provides a strong security foundation for multimedia data.