With the rapid development and wide application of internet of things (IoT) technology, optical equipment is being promoted to collect and store multi-scale remote sensing images, and to apply them in various fields such as industry, agriculture, and ecological and environmental protection. However, the resulting security risks have also caused widespread concern. This paper designs a remote sensing image synchronization encryption scheme based on 3D cross-coupled chaotic map and block-based cubes for multi-scale remote sensing images. First, a new 3D chaotic map is constructed by coupling the traditional single-node sinusoidal map, which provides support for building complex chaotic mappings for devices with limited resources. Second, a fractal square based on the Hilbert curve combined with chaos achieves simultaneous pixel scrambling and diffusion operations, improving multi-scale graphics encryption. Finally, a multi-type remote sensing graphics dataset is used for testing and a series of analysis experiments are performed to prove the feasibility of the algorithm.
| [1] |
Fuentes-Penailillo F, Gutter K, Vega R, et al.. Transformative technologies in digital agriculture: leveraging internet of things, remote sensing, and artificial intelligence for smart crop management. Journal of sensor and actuator networks, 2024, 13(4): 39 J]
|
| [2] |
Qureshi T, Saeed M, Ahsan K, et al.. Smart agriculture for sustainable food security using internet of things (IoT). Wireless communications and mobile computing, 2022, 2022(1): 9608394 J]
|
| [3] |
Li G, Xu Q, Gao L. A robust multi-chaotic remote sensing image encryption scheme based on RNA and immune algorithms. Physica scripta, 2024, 99(3): 035248 J]
|
| [4] |
Peng Y, Xu W, Parastesh F, et al.. An optical remote sensing image encryption algorithm for sensitive targets in sea-related scenes. Nonlinear dynamics, 2024, 112(18): 16537-16558 J]
|
| [5] |
LI Z, YANG S, TAN W, et al. A remote sensing image encryption and compression scheme using novel hyperchaotic system and plaintext related random S-box[J]. Nonlinear dynamics, 2024: 1–22.
|
| [6] |
Hosny K M, Kamal S T, Darwish M M. A color image encryption technique using block scrambling and chaos. Multimedia tools and applications, 2022, 81(1): 505-525 J]
|
| [7] |
Tian J X, Jin S C, Zhang X Q, et al.. Remote sensing image encryption algorithm based on novel hyperchaos and an elliptic curve cryptosystem. Chinese physics B, 2024, 33(5): 050502 J]
|
| [8] |
Wang X, Liu L, Song M. Remote sensing image and multi-type image joint encryption based on NCCS. Nonlinear dynamics, 2023, 111(15): 14537-14563 J]
|
| [9] |
Xian Y, Wang X. Fractal sorting matrix and its application on chaotic image encryption. Information sciences, 2021, 547: 1154-1169 J]
|
| [10] |
Mohamed A G, Abd El-Mottaleb S A, Singh M, et al.. Chaos fractal digital image encryption transmission in underwater optical wireless communication system. IEEE access, 2024, 12: 117541-117559 J]
|
| [11] |
Alawida M. A novel image encryption algorithm based on cyclic chaotic map in industrial IoT environments. IEEE transactions on industrial informatics, 2024, 8: 20[J]
|
| [12] |
Ebrahim Y, Ahmed M, Abdelsalam W, et al.. Shape representation and description using the Hilbert curve. Pattern recognition letters, 2009, 30(4): 348-358 J]
|
| [13] |
Cheng G, Han J W, Lu X Q. Remote sensing image scene classification: benchmark and state of the art. Proceedings of the IEEE, 2017, 105(10): 1865-1883 J]
|
| [14] |
Wen H, Xie Z, Wu Z, et al.. Exploring the future application of UAVs: face image privacy protection scheme based on chaos and DNA cryptography. Journal of King Saud University-Computer and Information Sciences, 2024, 36(1): 101871 J]
|
| [15] |
Xie Z, Sun J, Tang Y, et al.. A K-SVD based compressive sensing method for visual chaotic image encryption. Mathematics, 2023, 11(7): 1658 J]
|
| [16] |
Niu Y, Zhou H, Zhang X. Image encryption scheme based on improved four-dimensional chaotic system and evolutionary operators. Scientific reports, 2024, 14(1): 7033 J]
|
| [17] |
Wang M, Fu X, Yan X, et al.. A new chaos-based image encryption algorithm based on discrete Fourier transform and improved joseph traversal. Mathematics, 2024, 12(5): 638 J]
|
| [18] |
Zhu Y, Wang C, Sun J, et al.. A chaotic image encryption method based on the artificial fish swarms algorithm and the DNA coding. Mathematics, 2023, 11(3): 767 J]
|
| [19] |
JAIN K, TITUS B, KRISHNAN P, et al. A lightweight multi-chaos-based image encryption scheme for IoT networks[J]. IEEE access, 2024.
|
| [20] |
Jiang D, Tsafack N, Boulila W, et al.. ASB-CS: adaptive sparse basis compressive sensing model and its application to medical image encryption. Expert systems with applications, 2024, 236: 121378 J]
|
| [21] |
Kumar S, Sharma D. A chaotic based image encryption scheme using elliptic curve cryptography and genetic algorithm. Artificial intelligence review, 2024, 57(4): 87 J]
|
| [22] |
Alawida M. A novel chaos-based permutation for image encryption. Journal of King Saud University-Computer and Information Sciences, 2023, 35(6): 101595 J]
|
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Tianjin University of Technology