A Novel Privacy Framework for Satellite Images Based on Theory of Chaos and Chess Pieces Castle and King
Open accessAbstract
Satellite images are normally captured through Unmanned Aerial Vehicles (UAVs), drones, different aircraft, and other flying objects. These images are being used in many areas to get their utility. Occasionally, these images are very sensitive and confidential. Hence, they must be protected through some state-of-the-art cryptosystem. In this work, a novel image cryptographic work has been carried out by combining chaotic systems and the chess pieces of Castle and King. Apart from that, a 5D multi-wing hyperchaotic system has been employed to spawn the streams of random numbers. These streams of random numbers have been further customized to make them a good fit for the proposed algorithm. Two pairs of random numbers from the first & second streams and third & fourth streams control the addresses of the chess pieces, Castle and King, on the big chessboard. As these chess pieces maneuver on the chessboard, the pixels of the satellite images are swapped with each other. In particular, the movement of the chess pieces has been ingeniously linked with the swapping of the pixels of the given satellite images. These operations have been repeated at certain times to inject confusion effects in the suggested image encryption algorithm. The fifth and last stream of random numbers has been employed to introduce the requisite diffusion effects. Plaintext sensitivity –a necessary feature to foil the potential differential attacks, has been achieved by taking the SHA-256 hash codes of given images. Simulation results validate proof of concept. Moreover, the cipher has been subjected to comprehensive performance analyses using the security parameters of key space, histogram, correlation, information entropy, local Shannon entropy, irregular and maximum deviation, etc. We got an information entropy of 7.9981 and a computational time of 1.2445 seconds. These results suggest that the proposed satellite image cipher can be installed in some real-world settings to reap its benefits.
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Many of these methods lack standardization, real-time validation, or scalability to high-resolution datasets.
“many of these methods lack standardization, real-time validation, or scalability to high-resolution datasets”
From Hyperchaotic fractional-order image encryption with Knight’s tour scrambling for satellite imagery (2026) · cites this paper as [16]
The combination of local algebraic mixing, channel-specific dynamic substitution, and knight-guided bit-level diffusion yields a tightly coupled architecture that is structurally distinct from existing chaos+chess scrambling frameworks.
“This combination of local algebraic mixing, channel-specific dynamic substitution, and knight-guided bit-level diffusion yields a tightly coupled architecture that is structurally distinct from existing chaos+chess scrambling frameworks16,26.”
From Hyperchaotic fractional-order image encryption with Knight’s tour scrambling for satellite imagery (2026) · cites this paper as [16]
Cites
Communication Theory of Secrecy Systems
Shannon, C. E. (1949) · Bell System Technical Journal · doi:10.1002/j.1538-7305.1949.tb00928.x · Cited by 9,440 · cited 1× · see citing works
“Shannon [48] in 1949 gave its mathematical formula which is where H ( m ) denotes the information entropy of the source m .”
IEEE Standard for Binary Floating-Point Arithmetic
Ieee, A. (1985) · doi:10.1109/ieeestd.1985.82928 · Cited by 1,459 · see citing works
A novel bit-level image encryption algorithm based on chaotic maps
Xu, L., Li, Z., Li, J., & Hua, W. (2015) · Optics and Lasers in Engineering · doi:10.1016/j.optlaseng.2015.09.007 · Cited by 566 · see citing works
Image encryption using 2D Hénon-Sine map and DNA approach
Wu, J., Liao, X., & Yang, B. (2018) · Signal Processing · doi:10.1016/j.sigpro.2018.06.008 · Cited by 430 · see citing works
Li, Y., Wang, C., & Chen, H. (2016) · Optics and Lasers in Engineering · doi:10.1016/j.optlaseng.2016.10.020 · Cited by 420 · see citing works
A novel bit-level image encryption algorithm based on 2D-LICM hyperchaotic map
Cao, C., Sun, K., & Liu, W.-H. (2018) · Signal Processing · doi:10.1016/j.sigpro.2017.08.020 · Cited by 361 · see citing works
Gao, X., Mou, J., Xiong, L., Sha, Y., Yan, H., & Cao, Y. (2022) · Nonlinear Dynamics · doi:10.1007/s11071-021-07192-7 · Cited by 311 · see citing works
Medical Image Encryption by Content-Aware DNA Computing for Secure Healthcare
Wu, Y., Zhang, L., Berretti, S., & Wan, S. (2022) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2022.3194590 · Cited by 230 · see citing works
Chai, X., Bi, J., Gan, Z., Liu, X., Zhang, Y., & Chen, Y. (2020) · Signal Processing · doi:10.1016/j.sigpro.2020.107684 · Cited by 225 · see citing works
A novel and effective image encryption algorithm based on chaos and DNA encoding
Wang, X., & Liu, C. (2016) · Multimedia Tools and Applications · doi:10.1007/s11042-016-3311-8 · Cited by 196 · see citing works
Boguszewski, A., Batorski, D., Dziedzic, T. A., Zambrzycka, A., & Ziemba-Jankowska, N. (2021) · ReIn UW (University of Warsaw) · doi:10.1109/cvprw53098.2021.00121 · Cited by 181 · see citing works
A novel image encryption based on hash function with only two-round diffusion process
Norouzi, B., Seyedzadeh, S. M., Mirzakuchaki, S., & Mosavi, M. R. (2013) · Multimedia Systems · doi:10.1007/s00530-013-0314-4 · Cited by 177 · see citing works
Image encryption based on a combination of multiple chaotic maps
Elkandoz, M. T., & Alexan, W. (2022) · Multimedia Tools and Applications · doi:10.1007/s11042-022-12595-8 · Cited by 172 · see citing works
Image encryption algorithm based on 2D hyperchaotic map
Gao, X. (2021) · Optics & Laser Technology · doi:10.1016/j.optlastec.2021.107252 · Cited by 160 · see citing works
Hyperchaotic image encryption algorithm based on bit-level permutation and DNA encoding
Wang, T., & Wang, M. (2020) · Optics & Laser Technology · doi:10.1016/j.optlastec.2020.106355 · Cited by 151 · see citing works
A functional MRI study of high-level cognition. I. The game of chess
Atherton, M., Zhuang, J., Bart, W. M., Hu, X. P., & He, S. (2003) · Cognitive Brain Research · doi:10.1016/s0926-6410(02)00207-0 · Cited by 141 · see citing works
Rehman, A. U., Liao, X., Hahsmi, M. A., & Haider, R. (2017) · Optik · doi:10.1016/j.ijleo.2017.09.099 · Cited by 131 · see citing works
A novel image encryption cryptosystem based on true random numbers and chaotic systems
Zhou, S., Wang, X., Zhang, Y., Ge, B., Wang, M., & Gao, S. (2021) · Multimedia Systems · doi:10.1007/s00530-021-00803-8 · Cited by 122 · see citing works
Ali, T. S., & Ali, R. (2020) · Multimedia Tools and Applications · doi:10.1007/s11042-020-08850-5 · Cited by 115 · see citing works
A new image encryption technique combining Elliptic Curve Cryptosystem with Hill Cipher
Dawahdeh, Z. E., Yaakob, S. N., & Razif bin Othman, R. (2018) · Journal of King Saud University - Computer and Information Sciences · doi:10.1016/j.jksuci.2017.06.004 · Cited by 112 · see citing works
Chaos-Based Confusion and Diffusion of Image Pixels Using Dynamic Substitution
Qayyum, A., Ahmad, J., Boulila, W., Rubaiee, S., Arshad, Masood, F., Khan, F., & Buchanan, W. J. (2020) · IEEE Access · doi:10.1109/access.2020.3012912 · Cited by 111 · see citing works
Image encryption using partitioned cellular automata
Wang, Y., Zhao, Y., Zhou, Q., & Lin, Z. (2017) · Neurocomputing · doi:10.1016/j.neucom.2017.09.068 · Cited by 96 · see citing works
Orientation-Aware Vehicle Detection in Aerial Images via an Anchor-Free Object Detection Approach
Shi, F., Zhang, T., & Zhang, T. (2020) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2020.3011418 · Cited by 80 · see citing works
An improved image encryption algorithm for satellite applications
Bentoutou, Y., Bensikaddour, E.-H., Taleb, N. C.-E., & Bounoua, N. (2019) · Advances in Space Research · doi:10.1016/j.asr.2019.09.027 · Cited by 79 · see citing works
On the Image Encryption Algorithm Based on the Chaotic System, DNA Encoding, and Castle
Iqbal, N., Naqvi, R. A., Atif, M., Khan, M. A., Hanif, M., Abbas, S., & Hussain, D. (2021) · IEEE Access · doi:10.1109/access.2021.3106028 · Cited by 72 · see citing works
Vaseghi, B., Hashemi, S., Mobayen, S., & Fekih, A. (2021) · IEEE Access · doi:10.1109/access.2021.3055580 · Cited by 70 · see citing works
Hanif, M., Naqvi, R. A., Abbas, S., Khan, M. A., & Iqbal, N. (2020) · IEEE Access · doi:10.1109/access.2020.3004536 · Cited by 68 · see citing works
Hybrid Implementation of Twofish, AES, ElGamal and RSA Cryptosystems
Jintcharadze, E., & Iavich, M. (2020) · IEEE East-West Design & Test Symposium (EWDTS) · doi:10.1109/ewdts50664.2020.9224901 · Cited by 67 · see citing works
A Bijective Image Encryption System Based on Hybrid Chaotic Map Diffusion and DNA Confusion
ElKamchouchi, D. H., Mohamed, H. G., & Moussa, K. H. (2020) · Entropy · doi:10.3390/e22020180 · Cited by 63 · cited 1× · see citing works
“Following the recommendations outlined in [50], two parameters ( n , Q C ) have been set to specific values, namely (30, 1936).”
Masood, F., Boulila, W., Ahmad, J. E., Ali, A., Sankar, S., Rubaiee, S., & Buchanan, W. J. (2020) · Remote Sensing · doi:10.3390/rs12111893 · Cited by 62 · see citing works
Rafique, A. A., Al‐Rasheed, A., Ksibi, A., Ayadi, M. F., Jalal, A., Alnowaiser, K., Meshref, H., Shorfuzzaman, M., Gochoo, M., & Park, J. (2023) · IEEE Access · doi:10.1109/access.2023.3234281 · Cited by 61 · see citing works
A novel image encryption based on Lorenz equation, Gingerbreadman chaotic map and S 8 permutation
Khan, F. A., Ahmed, J., Khan, J. S., Ahmad, J. E., & Khan, M. A. (2017) · Journal of Intelligent & Fuzzy Systems · doi:10.3233/jifs-17656 · Cited by 61 · see citing works
Application of matrix semi-tensor product in chaotic image encryption
Wang, X., & Gao, S. (2019) · Journal of the Franklin Institute · doi:10.1016/j.jfranklin.2019.10.006 · Cited by 54 · see citing works
An RGB Image Cipher Using Chaotic Systems, 15-Puzzle Problem and DNA Computing
Iqbal, N., Abbas, S., Khan, M. A., Alyas, T., Fatima, A., & Ahmad, A. (2019) · IEEE Access · doi:10.1109/access.2019.2956389 · Cited by 49 · see citing works
Ma, X., & Wang, C. (2023) · Multimedia Tools and Applications · doi:10.1007/s11042-023-15119-0 · Cited by 41 · see citing works
Cryptanalysis and Improved Image Encryption Scheme Using Elliptic Curve and Affine Hill Cipher
Lone, P. N., Singh, D., Stoffová, V., Mishra, D. C., Mir, U. H., & Kumar, N. (2022) · Mathematics · doi:10.3390/math10203878 · Cited by 40 · see citing works
Side-channel Timing Attack of RSA on a GPU
Luo, C., Fei, Y., & Kaeli, D. R. (2019) · ACM Transactions on Architecture and Code Optimization · doi:10.1145/3341729 · Cited by 35 · see citing works
A generalized framework for elliptic curves based PRNG and its utilization in image encryption
AbdElHaleem, S. H., Abd–El–Hafiz, S. K., & Radwan, A. G. (2022) · Scientific Reports · doi:10.1038/s41598-022-17045-x · Cited by 32 · see citing works
Cryptanalysis of an Image Encryption Algorithm Based on a 2D Hyperchaotic Map
Zhang, C., Chen, J., & Chen, D. (2022) · Entropy · doi:10.3390/e24111551 · Cited by 24 · see citing works
Quadratic Function Chaotic System and its Application on Digital Image Encryption
Guo, H., Zhang, X., Zhao, X., Yu, H., & Zhang, L. (2020) · IEEE Access · doi:10.1109/access.2020.2981771 · Cited by 21 · see citing works
Iqbal, N., Banga, A. S., Innab, N., Elzaghmouri, B. M., Ikram, A., & Diab, H. (2024) · Expert Systems with Applications · doi:10.1016/j.eswa.2024.125992 · Cited by 19 · see citing works
Faltermeier, F. L., Krapf, S., Willenborg, B., & Kolbe, T. H. (2023) · Remote Sensing · doi:10.3390/rs15071931 · Cited by 15 · see citing works
Efficient image cipher based on the movement of king on the chessboard and chaotic system
Iqbal, N., Abbas, S., Khan, M. A., Fatima, A., Ahmed, A., & Anwer, N. (2020) · Journal of Electronic Imaging · doi:10.1117/1.jei.29.2.023025 · Cited by 13 · see citing works
Satellite images encryption Review
Al‐Khasawneh, M. A., Abu-Ulbeh, W., & Khasawneh, A. M. (2020) · International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI) · doi:10.1109/ichci51889.2020.00034 · Cited by 10 · see citing works
Modified Gingerbreadman Chaotic Substitution and Transformation Based Image Encryption
Prajwalasimha, S. N., Sidramappa, Kavya, S. R., Hema, A. S., & Anusha, H. C. (2020) · Advances in intelligent systems and computing · doi:10.1007/978-3-030-37218-7_69 · Cited by 9 · see citing works
Multi-image cipher based on the random walk of Knight in a virtual 3D chessboard
Iqbal, N., Khan, M. A., & Lee, S.-W. (2023) · Multimedia Tools and Applications · doi:10.1007/s11042-023-15701-6 · Cited by 8 · see citing works
Cracking the DES Cipher with Cost-Optimized FPGA Devices
Sugier, J. (2019) · Advances in intelligent systems and computing · doi:10.1007/978-3-030-19501-4_47 · Cited by 6 · see citing works
Iqbal, N. (2023) · Multimedia Tools and Applications · doi:10.1007/s11042-023-15674-6 · Cited by 3 · see citing works
Akram, M. I., Ali, S., Alqahtani, J., Iqbal, N., Alqahtani, A., & Ikram, A. (2024) · PLoS ONE · doi:10.1371/journal.pone.0295060 · Cited by 3 · see citing works
Supporting Algorithm Analysis with Symbolic Execution in Alk
Lungu, A.-I., & Lucanu, D. (2022) · Lecture notes in computer science · doi:10.1007/978-3-031-10363-6_27 · Cited by 2 · see citing works
An Improved Detector for Small Targets in Aerial Images
Wu, Q., & Jin, X. (2023) · International Conference on Advanced Computational Intelligence (ICACI) · doi:10.1109/icaci58115.2023.10146153 · Cited by 1 · see citing works
Ammar, A., Koubaa, A., Ahmed, M., Saad, A., & Benjdira, B. (2019) · arXiv · doi:10.48550/arxiv.1910.07234
Flagged first, then by citations
Research works printed but not linked: 1
- Zaman, 2012, Review on fifteen statistical tests proposed by NIST, J. Theor. Phys. Cryptogr., 1, 18
Cited by
Sorted by citations
An improved Bülban map and its application in multiple image encryption
Shabasy, N. H. E., Mansy, A., & Alexan, W. (2026) · Journal of King Saud University Computer and Information Sciences · doi:10.1007/s44443-026-00650-5 · Cited by 9 · see citing works
Chosen-plaintext attacks on image ciphers based on nonlinear dynamical systems
Hazzazi, M. M., Shah, D., Alghamdi, M., Alkhazi, I. S., & Riaz, N. (2026) · Array · doi:10.1016/j.array.2025.100642 · Cited by 5 · see citing works
Hyperchaotic fractional-order image encryption with Knight’s tour scrambling for satellite imagery
Mamdouh, E., Aboshousha, A., & Alexan, W. (2026) · Scientific Reports · doi:10.1038/s41598-026-58982-1 · Cited by 3 · see citing works
Khurana, N., & Dua, M. (2026) · Proceedings of the Institution of Mechanical Engineers Part G Journal of Aerospace Engineering · doi:10.1177/09544100261484017
A Chaos‐Driven Image Encryption Method With Möbius Transformations and Finite‐Ring Diffusion
Khan, N. A., Banga, A. S., Shah, A. A., Jabbar, S., & Iqbal, N. (2026) · Engineering Reports · doi:10.1002/eng2.71126
- Authors
- Alqahtani, N.
- Affiliations
- King Faisal University (SA)
- Corresponding author
- Alqahtani, Nayef
- ORCID
- Alqahtani, Nayef
- Venue
- IEEE Access
- Published
- 2025
- Volume
- 13
- Pages
- 40503-40519
- ISSN
- 2169-3536 (ISSN-L)
- OpenAlex
- W4407449725
- Cited by
- 5
- References
- 52
- Citations by year
- 2026: 5
- FWCI
- 1.52
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- IEEE Access (publishedVersion, cc-by-nc-nd)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Chaos-based Image/Signal Encryption
- Physical Sciences › Computer Science › Artificial Intelligence › Computer Science and Engineering
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Steganography and Watermarking Techniques
- Keywords
- image privacy, chaotic systems, hyperchaotic systems, pixel swapping, random number generation, confusion and diffusion, SHA-256, differential attack resistance, key space analysis, Shannon entropy
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