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A Fast Multi-Image Encryption Scheme Using Hyperchaotic Map and Parallel Algorithm for Vehicle Detection Applications

delete2026-02-11
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Q
Qiang Lai
B
Baowen Miao
DOI:10.1109/JIOT.2026.3663610delete
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Abstract

Abstract

En 中文
To enhance the secure storage and real-time transmission of vehicle images on highways, this study proposes a fast parallel multi-image encryption scheme. First, a dual-memristor exponential map is designed, whose Lyapunov exponents (LEs), chaotic attractors, and bifurcation behavior are analyzed, and, based on this, the key stream is used to generate pseudorandom sequences. Subsequently, the acquired multiple vehicle images are subjected to target detection, and all detected vehicle targets are rearranged and divided into blocks. Then, three rounds of parallel diffusion and one round of scrambling operation are applied to the partitioned images, further enhancing plaintext sensitivity and avalanche effect to resist differential attacks. Finally, security analysis shows that the proposed algorithm offers significant advantages in resisting statistical, frequency, entropy, and other common attacks. Moreover, compared with previous studies, it achieves higher encryption speed (ES), averaging 2285.67 KB/s, thus satisfying the security and efficiency requirements for real-time vehicle image data transmission.
Keywords:
Dual-memristor exponential map
fast multi-image encryption
parallel diffusion
security analysis

Journal

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

Organization

E
east china jiaotong university
Scholars:
1.7K
Papers: 665
Citations: 0
Cited Papers

Cited Papers

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A Parallel Color Image Encryption Algorithm Based on a 2D Logistic-Rulkov Neuron Map
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errSuo Gao; Zheyi Zhang; Herbert Ho-Ching Iu; Siqi Ding; Jun Mou; Uğur Erkan; Abdurrahim Toktas; Qi Li; Chunpeng Wang; Yinghong Cao
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