A compressed image encryption algorithm leveraging optimized 3D chaotic maps for secure image communication

. 2025 Apr 23 ; 15 (1) : 14151. [epub] 20250423

Status PubMed-not-MEDLINE Jazyk angličtina Země Anglie, Velká Británie Médium electronic

Typ dokumentu časopisecké články

Perzistentní odkaz   https://www.medvik.cz/link/pmid40269024
Odkazy

PubMed 40269024
PubMed Central PMC12019318
DOI 10.1038/s41598-025-95995-8
PII: 10.1038/s41598-025-95995-8
Knihovny.cz E-zdroje

In today's digital age, sensitive multimedia informations are transmitted over public networks that are vulnerable to unauthorized access and data tampering. This motivates more robust encryption methods to combat such security threats. In this paper, a chaotic map-based encryption technique is presented as a solution to these issues. The proposed algorithm termed as OptiSecure-3D presents optimized parameter-based 3D chaotic maps for image encryption. The method integrates three primary components: stacked autoencoder (SAE), optimized parameter-based chaotic mapping, and encryption/decryption module, to ensure robust and secure encryption of images. The result evaluated the proposed OptiSecure-3D image encryption algorithm with a randomness test, pixel adjacency correlation test, and differential analysis. The mean entropy was approx. 7.9 and the mean number of pixels changing rate (NPCR) was approx. 99.8, unified average changing intensity (UACI) was approx. 33.46. Moreover, the OptiSecure-3D algorithm also investigated the result under noise attacks and shows better cryptanalysis results as compared to comparative state-of-art models. The findings suggest that our chaotic map-based encryption technique not only provides an effective solution to the security vulnerabilities of digital image transmission but also enhances the overall reliability of multimedia communication systems. This paper presents a significant advancement in the field of secure image encryption to meets the increasing demands for data security in modern digital communication networks.

Zobrazit více v PubMed

Jasra, B. & Moon, A. H. Image encryption techniques: a review. In 10th International Conference on Cloud Computing, Data Science & Engineering (Confluence), Noida, India, 2020, pp. 221–226, (2020). 10.1109/Confluence47617.2020.9058071

Chamoli, A., Ahmed, J., Alam, M. A. & Alankar, B. Analysis on optimal ways to secure image encryption and decryption. In 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), Greater Noida, India, 2022, pp. 588–593, (2022). 10.1109/ICACITE53722.2022.9823565

Kiya, H. Progress and challenges in compressible and learnable image encryption for privacy-preserving image encryption and machine learning [keynote]. In 2020 12th International Conference on Knowledge and Smart Technology (KST), Pattaya, Thailand, 2020, pp. XV-XV. 10.1109/KST48564.2020.9059423

Abusukhon, A. & AlZu’bi, S. New direction of cryptography: A review on text-to-image encryption algorithms based on rgb color value. In Seventh International Conference on Software Defined Systems (SDS), Paris, France, 2020, pp. 235–239, (2020). 10.1109/SDS49854.2020.9143891

Xu, J., Ai, B., Chen, W., Yang, A. & Sun, P. Image encryption methods in deep joint source channel coding: A review and performance evaluation. In 2021 7th International Conference on Computer and Communications (ICCC), Chengdu, China, 2021, pp. 240–244. 10.1109/ICCC54389.2021.9674532

Habek, M. et al. Digital image encryption using elliptic curve cryptography: A review,. In 2022 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA), Ankara, Turkey, 2022, pp. 1–8. 10.1109/HORA55278.2022.9800074

Suneja, K., Dua, S., Dua, M., Methodologies & Communication 3rd International Conference on Computing and A Review of Chaos based Image Encryption, (ICCMC), Erode, India, 2019, pp. 693–698, (2019). 10.1109/ICCMC.2019.8819860

Paul, A. J. Recent advances in selective image encryption and its indispensability due to COVID-19. In 2020 IEEE Recent Advances in Intelligent Computational Systems (RAICS), Thiruvananthapuram, India, 2020, pp. 201–206. 10.1109/RAICS51191.2020.9332513

Qayyum, A., Qadir, J., Bilal, M. & Al-Fuqaha, A. Secure and robust machine learning for healthcare: A survey. IEEE Rev. Biomed. Eng.14, 156–180. 10.1109/RBME.2020.3013489 (2021). PubMed

Feng, W. et al. Cryptanalysis and improvement of the image encryption scheme based on feistel network and dynamic DNA encoding. Ieee Access.9, 145459–145470 (2021).

Wen, H. & Lin, Y. Cryptanalyzing an image cipher using multiple chaos and DNA operations. J. King Saud University-Computer Inform. Sci.35 (7), 101612 (2023).

Akhtarkavan, E., Majidi, B. & Mandegari, A. Secure medical image communication using fragile data hiding based on discrete wavelet transform and a₅ lattice vector quantization. IEEE Access11, 9701–9715. 10.1109/ACCESS.2023.3238575 (2023).

Lin, Y. et al. Blockchain-Aided secure semantic communication for AI-Generated content in metaverse. IEEE Open. J. Comput. Soc.4, 72–83. 10.1109/OJCS.2023.3260732 (2023).

Xu, G., Li, G., Guo, S., Zhang, T. & Li, H. Secure decentralized image classification with multiparty homomorphic encryption. IEEE Trans. Circuits Syst .Video Technol.33(7), 3185–3198. 10.1109/TCSVT.2023.3234278 (2023).

Fang, F., Liu, Y., Park, J. H. & Liu, Y. Outlier-resistant nonfragile control of T-S Fuzzy neural networks with reaction-diffusion terms and its application in image secure communication. IEEE Trans Fuzzy Syst.31(9), 2929–2942. 10.1109/TFUZZ.2023.3239732 (2023).

He, W. et al. Secure communication based on quantized synchronization of chaotic neural networks under an event-triggered strategy. IEEE Trans Neural Netw Learn Syst31(9), 3334–3345. 10.1109/TNNLS.2019.2943548 (2020). PubMed

Lv, Z., Chen, D., Cao, B., Song, H. & Lv, H. Secure deep learning in defense in deep-learning-as-a-service computing systems in digital twins. IEEE Trans. Comput. https://doi.org/10.1109/TC.2021.3077687.

Choi, J. & Yu, N. Y. Secure image encryption based on compressed sensing and scrambling for internet-of-multimedia things. IEEE Access10, 10706–10718. 10.1109/ACCESS.2022.3145005 (2022).

Boussif, M. & Mnassri, A. Secure images transmission using a three-dimensional s-box-based encryption algorithm. In 2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET), Hammamet, Tunisia, pp. 17–22, (2022). 10.1109/IC_ASET53395.2022.9765904

Sarvepalli, G. P., Rethinam, S., Prasad, B. N. S. & Kulkarni, M. Secure image communication using systematic-LT codes over AWGN channel. In 2022 2nd Asian Conference on Innovation in Technology (ASIANCON), Ravet, India, 2022, pp. 1–7. 10.1109/ASIANCON55314.2022.9909507

Ge, B. et al. Secure and fast image encryption algorithm using hyper-chaos-based key generator and vector operation. IEEE Access.9, 137635–137654 (2021).

Kaur, M. et al. Lightweight biomedical image encryption approach. IEEE Access.9, 61334–61345 (2023).

Qian, X. et al. A novel color image encryption algorithm based on three-dimensional chaotic maps and reconstruction techniques. IEEE Access.9, 61334–61345 (2021).

Wen, H., Huang, Y. & Lin, Y. High-quality color image compression-encryption using chaos and block permutation. J. King Saud University-Computer Inform. Sci.35, 101660 (2023).

Yuan, Y. et al. JPEG image encryption with grouping coefficients based on entropy coding. J. Vis. Commun. Image Represent.97, 103975 (2023).

Lai, Q. et al. Image encryption using fission diffusion process and a new hyperchaotic map. Chaos. Solitons Fractals. 175, 114022 (2023).

Wen, H. & Lin, Y. Cryptanalysis of an image encryption algorithm using quantum chaotic map and DNA coding. Expert Syst. Appl.237, 121514 (2024).

Guan, Q. et al. Multi-images encryption and watermarking with small number of keys via computational ghost imaging. Opt. Laser Technol.168, 109957 (2024).

An, X. et al. Mixed gray-color images encryption algorithm based on a memristor chaotic system and 2D compression sensing. Expert Syst. Appl. 122899. (2023).

Kaur, M., Kumar, V. & Li, L. Color image encryption approach based on memetic differential evolution. Neural Comput. Appl.31, 7975–7987 (2019).

Kaur, M., Singh, D. & Uppal, R. S. Parallel strength Pareto evolutionary algorithm-II based image encryption. IET Image Process.14(6), 1015–1026 (2020).

Toktas, A., Erkan, U. & Ustun, D. ‘‘An image encryption scheme based on an optimal chaotic map derived by multi-objective optimization using ABC algorithm. Nonlinear Dyn.105(2), 1885–1909 (2021).

Wang, J., Song, X. & Ahmed, A. Abd El-Latif. Single-objective particle swarm optimization-based chaotic image encryption scheme. Electronics11, 2628 (2022).

Zhu, Y. et al. A chaotic image encryption method based on the artificial fish swarms algorithm and the DNA coding. Mathematics11 (3), 767 (2023).

Ma, X., Wang, Z. & Wang, C. An image encryption algorithm based on Tabu search and Hyperchaos. Int. J. Bifurcat. Chaos. 34 (14), 2450170 (2024).

Deng, Q. et al. Memristive Tabu learning neuron generated multi-wing attractor with FPGA implementation and application in encryption. IEEE Trans. Circuits Syst. I Regul. Pap.72 (1) 300–311 (2024).

Chen, Y. et al. A novel adaptive image privacy protection method based on Latin square. Nonlinear Dyn.112 (12), 10485–10508 (2024).

Feng, W. et al. A novel multi-channel image encryption algorithm leveraging pixel reorganization and hyperchaotic maps. Mathematics12(24), 3917 (2024).

Feng, W. et al. Exploiting robust quadratic polynomial hyperchaotic map and pixel fusion strategy for efficient image encryption. Expert Syst. Appl.246, 123190 (2024).

Feng, W. et al. Exploiting newly designed fractional-order 3D Lorenz chaotic system and 2D discrete polynomial hyper-chaotic map for high-performance multi-image encryption. Fractal Fract.7 (12), 887 (2023).

Hua, Z., Yi, S. & Zhou, Y. Medical image encryption using high-speed scrambling and pixel adaptive diffusion. Sig. Process.144, 134–144 (2018).

Sheng, Y. et al. An image encryption algorithm based on complex network scrambling and multi-directional diffusion. Entropy24(9), 1247 (2022). PubMed PMC

Fridrich, J. Image encryption based on chaotic maps. In IEEE International Conference on Systems, Man, and Cybernetics. Computational Cybernetics and Simulation. vol. 2. pp. 1105–1110 (1997).

Liu, Q. et al. A novel image encryption algorithm based on chaos maps with Markov properties. Commun. Nonlinear Sci. Numer. Simul.20 (2), 506–515 (2015).

Lorenz, E. N. Deterministic nonperiodic flow. J. Atmos. Sci.20 (2), 130–141 (1963).

Ali, N. A., Rahma, A. M. S. & Shaker, S. H. Multi-level encryption for 3D mesh model based on 3D Lorenz chaotic map and random number generator. Int. J. Electr. Comput. Eng.12(6), 8708 (2022).

Chen, G. & Mao, Y. Chui. A symmetric image encryption scheme based on 3D chaotic Cat maps. Chaos Solitons Fractals. 21 (3), 749–761 (2004).

Ding, Y. et al. DeepEDN: A deep-learning-based image encryption and decryption network for internet of medical things. IEEE Internet Things J.8 (3), 1504–1518 (2020).

Guan, Z. H., Huang, F. & Guan, W. Chaos-based image encryption algorithm. Phys. Lett. A. 346, 153–157 (2005).

Diaconu, A. V., & Dascalescu, A.C. Correlation distribution of adjacent pixels randomness test for image encryption. Proc. Rom. Acad. Ser. A.18 (2017).

Li, C. et al. Cryptanalysis of a chaotic image encryption algorithm based on information entropy. Ieee Access.6, 75834–75842 (2018).

Ding, D. et al. An n-dimensional modulo chaotic system with expected Lyapunov exponents and its application in image encryption. Chaos Solitons Fractals. 174, 113841 (2023).

Wu, Y. & Noonan, J. P. NPCR and UACI randomness tests for image encryption. Cyber journals: multidisciplinary journals in science and technology. J. Sel. Areas Telecommunications (JSAT). 1 (2), 31–38 (2011).

Li, L. A novel chaotic map application in image encryption algorithm. Expert Syst. Appl.124316 (2024).

Liang, C. & Zhu A new one-dimensional chaotic map for image encryption scheme based on random DNA coding. Opt. Laser Technol.160, 109033 (2023).

Zhang, Y., Chen, A., Tang, Y., Dang, J. & Wang, G. Plaintext-related image encryption algorithm based on perceptron-like network. Inf. Sci.526, 180–202 (2020).

Kanwal, S. & Ali, R. A cryptosystem with noncommutative platform groups. Neural Comput. Appl.29, 1273–1278 (2018).

Kanwal, S. et al. A new image encryption technique based on sine map, chaotic tent map, and circulant matrices. Secur. Commun. Netw. 4152683 (2022).

Inam, S. et al. A new method of image encryption using advanced encryption standard (AES) for network security. Phys. Scr.98 (12), 126005 (2023).

Kanwal, S. et al. An efficient image encryption algorithm using 3D-cyclic Chebyshev map and elliptic curve. Sci. Rep.14 (1), 29626 (2024). PubMed PMC

https://figshare.com/articles/dataset/BSD100_Set5_Set14_Urban100/21586188

https://www.kaggle.com/datasets/navoneel/brain-mri-images-for-brain-tumor-detection

Alghamdi, Y. & Munir, A. Image encryption algorithms: a survey of design and evaluation metrics. J. Cybersecur. Priv.4 (1), 126–152 (2024).

Najít záznam

Citační ukazatele

Nahrávání dat ...

Možnosti archivace

Nahrávání dat ...