Abstract
This study proposes a full system that can protect digital images during transmission over the network while addressing the shortcomings of existing image encryption schemes. The suggested method combines encryption and steganography using a 4D hyper-chaotic map, which generates pseudo-random sequences that are operationally employed to encrypt the secret message using the XOR operation and dynamically choose the pixel positions for embedding the message with LSB substitution. The evaluation system assesses performance in terms of PSNR, SSIM, encryption time, key-space analysis, NIST statistical tests, NPCR, and UACI. The findings from experiments show that the proposed system has a key space of more than 2512 indicating strong security. The images generated by the method, known as stego images, show very high quality. The PSNR values of the stego images range from 46.93 to 68.07 dB, and the SSIM values range from 0.892 to 0.995. The core encryption process takes no more than 1.19×10−5 seconds for key generation and XOR-based encryption, while the embedding process takes ~10−3 seconds. The proposed scheme has been confirmed to be robust through analysis. The NIST Statistical Test demonstrates that the data obtained is highly random in nature. Furthermore, the NPCR value obtained is more than 99.6% and UACI value is more than 33.4%. Thus, the data is highly resistant to the differential attacks. In conclusion, the major contribution of this study is the use of a 4D hyper-chaotic map for providing secure encryption and dynamic embedding. The proposed system achieves a good balance between security, computational efficiency, and image quality, indicating that the proposed model can achieve secure real-time image transmission.
References
- Pourjabbar Kari, Ahmad, Ahmad Habibizad Navin, Amir Massoud Bidgoli, and Mirkamal Mirnia. "A New Image Encryption Scheme Based on Hybrid Chaotic Maps." Multimedia Tools and applications 80, no. 2 (2021): 2753-2772.
- Qi, Tang, Jiang Jun-min, and Jiang Jun-li. "An Image Encryption Algorithm Based on High-Dimensional Chaotic Systems." In 2016 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC), IEEE, 2016, 1-4.
- Matthews, Robert. "On the Derivation of a “Chaotic” Encryption Algorithm." Cryptologia 13, no. 1 (1989): 29-42.
- Qassir, Samar A., Methaq T. Gaata, and Ahmed T. Sadiq. "Modern and Lightweight Component-based Symmetric Cipher Algorithms: A Review." ARO-The Scientific Journal of Koya University 10, no. 2 (2022): 152-168.
- Fridrich, Jiri. "Symmetric Ciphers Based on Two-Dimensional Chaotic Maps." International Journal of Bifurcation and chaos 8, no. 06 (1998): 1259-1284.
- Qassir, Samar Amil. "Building a Graphical Modelling Language for Efficient Homomorphic Encryption Schema Configuration: HomoLang." TEM Journal 13, no. 3 (2024): 2285-2296.
- Lee, Ju-Hong, and Chia-Cheng Huang. "Robust Cyclic Adaptive Beamforming Using a Compensation Method." Signal processing 92, no. 4 (2012): 954-962.
- Patidar, Vinod, Narendra K. Pareek, and K. K. Sud. "A New Substitution–Diffusion Based Image Cipher Using Chaotic Standard and Logistic Maps." Communications in Nonlinear Science and Numerical Simulation 14, no. 7 (2009): 3056-3075.
- Zia, Unsub, Mark McCartney, Bryan Scotney, Jorge Martinez, Mamun AbuTair, Jamshed Memon, and Ali Sajjad. "Survey on Image Encryption Techniques Using Chaotic Maps in Spatial, Transform and Spatiotemporal Domains: U. Zia et al." International Journal of Information Security 21, no. 4 (2022): 917-935.
- Jabbar, Khalid Kadhim, Hussain A. Hailal, and Aysar Thamer Naser. "Information Security Based on Sub-System Keys Generator by Utilizing Polynomials Method and Logic Gate." Journal of Discrete Mathematical Sciences and Cryptography 26, no. 4 (2023): 1135-1143.
- Liu, Pengbo, Xingyuan Wang, and Yining Su. "Image Encryption via Complementary Embedding Algorithm and New Spatiotemporal Chaotic System." IEEE Transactions on Circuits and Systems for Video Technology 33, no. 5 (2022): 2506-2519.
- Verma, Vivek, and Sanjeev Kumar. "Quantum Image Encryption Algorithm Based on 3D-BNM Chaotic Map." Nonlinear Dynamics 113, no. 4 (2025): 3829-3855.
- Stoycheva, Hristina, and Georgi Mihalev. "Entropy-Based Optimization in Chaotic Image Encryption Algorithms with Implementation of Artificial Intelligence." Engineering Proceedings 104, no. 1 (2025): 16.
- Kumari, Twinkle, Damanpreet Singh, and Birmohan Singh. "Multi‐Chaotic Maps and Blockchain Based Image Encryption." Concurrency and Computation: Practice and Experience 36, no. 14 (2024): e8092.
- Sakthi Kumar, B., and R. Revathi. "A Comprehensive Review on Image Encryption Techniques Using Memristor Based Chaotic System for Multimedia Application." IETE Journal of Research 70, no. 11 (2024): 8160-8183.
- Chen, Guanrong, Yaobin Mao, and Charles K. Chui. "A Symmetric Image Encryption Scheme Based on 3D Chaotic Cat Maps." Chaos, Solitons & Fractals 21, no. 3 (2004): 749-761

Journal of Innovative Image Processing