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Robust Hyperchaotic Attractor-Based Image Encryption and FPGA Implementation

delete2026-04-02
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PRE
AI
H
Han Bao
Z
Zheng Fan
Y
Yunzhen Zhang
N
Ning Wang
M
Mo Chen
B
Bocheng Bao
DOI:10.1109/JIOT.2026.3680128delete
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Abstract

Abstract

En 中文
The development of low-dimensional hyperchaotic maps with controllable dynamics and high randomness is both important and challenging. To address these issues, we propose a novel 2-D torus hyperchaotic map (2D-THM). This map is constructed through torus projections, which ensures global boundedness and produces diverse petal-like hyperchaotic attractors. Particularly, the torus parameters enable flexible control over attractor structure and pattern characteristics. Comparative analyses using numerical simulations and entropy metrics demonstrate that 2D-THM achieves superior complexity and robust hyperchaotic properties. Based on this map, a novel image encryption algorithm is presented. This algorithm utilizes attractor features to achieve high storage efficiency, making it particularly suitable for resource-constrained environments. Comprehensive security analyses confirm strong resistance to various attacks. Furthermore, this algorithm is implemented on field-programmable gate array (FPGA) platform, achieving an encryption time of 47 ms for a 1-MB image with low power consumption and efficient RAM usage, thereby validating its practical efficiency and hardware adaptability for real-world applications.
Keywords:
Attractor features
field-programmable gate array (FPGA) implementation
image encryption
robust hyperchaos
torus hyperchaotic map (THM)

Journal

IEEE Internet of Things Journal cover
IEEE Internet of Things Journal
IF:
8.9
Papers:
1.4W
Citations:
7.8W

Organization

C
Changzhou University
Scholars:
1.4W
Papers: 8.2K
Citations: 1.1W
X
xuchang university
Scholars:
339
Papers: 131
Citations: 0