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Alexandria Engineering Journal

Secure real-time transmission of multi-spectral satellite images inducing a 6D hyper-chaotic system and BB84 QKD protocol

Bandana Mallick, Priyadarsan Parida, Chittaranjan Nayak, Nawaf Ali, Manoj Kumar Panda, Bibhu Prasad, Gupteswar Sahu, Gopinath Palai

Published Mar 18, 2025• 20 citations
Publisher

Abstract

As the field of remote sensing advances quickly, the images from satellites are mostly utilized for different applications such as environmental monitoring, navigation, surveillance, etc. The most common approach to delivering security to the satellite images throughout the propagation from unauthorized access is by using image encryption techniques. Real-time images are challenging to process with conventional technologies because they include a diversity of information with significant prolixity, high correlation among neighboring pixels, and high uncertainty due to sensor noise and environmental conditions. Therefore, the present work focuses on the secured transmission of real-time satellite images with a high Signal-to-Noise ratio. In this work, we have developed a novel hybrid encryption method that combines a six-dimensional (6D) hyper-chaotic system with the BB84 quantum key distribution (QKD) protocol for secure and efficient image transmission. The hyper-chaotic system enhances pixel scrambling and diffusion, reducing correlations in the image data, while BB84 ensures secure key exchange during transmission over Free Space Optics (FSO) channels. The integration of a 6D hyper-chaotic system with BB84 QKD protocol is capable of transmitting multichannel information in a single secured channel. The proposed technique is corroborated using a set of satellite images, as satellite images possess highly correlated information. In the proposed model, the original satellite images are taken for Gunupur, Odisha during the period of November 22, 2023, to January 23, 2024. These images’ information is confused by the hyper-chaotic system. Then, the permuted images are diffused to generate the scrambled image using the BB84 protocol. On the receiver side, the same information is recovered with reduced information loss using the proposed receiver module, which consists of an optical hard limiter followed by a low pass filter. The performance of the proposed scheme is tested via various quantitative assessments including entropy, mutual information, histogram, cross-correlation, and differential attack analysis. Performance metrics reveal robust security and high-quality reconstruction, achieving an entropy of 7.9976, a P S N R of 8.9967, and a B E R of 0.1111 for the Pepper image. Sensitivity analysis demonstrates resilience against differential attacks, with a U A C I of 34.6970 and an N P C R of 0.9973. The system is implemented using Optisystem 15.1 and MATLAB 2017a, and experimental results confirm superior performance compared to 22 existing techniques across various metrics, including entropy, mutual information, histogram analysis, and cross-correlation. This approach highlights the potential for secure real-time image transmission in optical networks while addressing challenges in satellite image encryption. • A unique image encryption algorithm is developed for real-time satellite image encryption using BB84 QKD protocol. • A 6D hyper-chaotic system is explored to provide a higher degree of security with reduced information loss. • A pixel scrambling process is performed using hyper-chaotic sequence to make the system more robust. • The performance of the network is analyzed under FSO channel for a link distance of 200 m.

DOI
10.1016/j.aej.2025.02.113

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As the field of remote sensing advances quickly, the images from satellites are mostly utilized for different applications such as environmental monitoring, navigation, surveillance, etc. The most common approach to delivering security to the satellite images throughout the propagation from unauthorized access is by using image encryption techniques. Real-time images are challenging to process with conventional technologies because they include a diversity of information with significant prolixity, high correlation among neighboring pixels, and high uncertainty due to sensor noise and environmental conditions. Therefore, the present work focuses on the secured transmission of real-time satellite images with a high Signal-to-Noise ratio. In this work, we have developed a novel hybrid encryption method that combines a six-dimensional (6D) hyper-chaotic system with the BB84 quantum key distribution (QKD) protocol for secure and efficient image transmission. The hyper-chaotic system enhances pixel scrambling and diffusion, reducing correlations in the image data, while BB84 ensures secure key exchange during transmission over Free Space Optics (FSO) channels. The integration of a 6D hyper-chaotic system with BB84 QKD protocol is capable of transmitting multichannel information in a single secured channel. The proposed technique is corroborated using a set of satellite images, as satellite images possess highly correlated information. In the proposed model, the original satellite images are taken for Gunupur, Odisha during the period of November 22, 2023, to January 23, 2024. These images’ information is confused by the hyper-chaotic system. Then, the permuted images are diffused to generate the scrambled image using the BB84 protocol. On the receiver side, the same information is recovered with reduced information loss using the proposed receiver module, which consists of an optical hard limiter followed by a low pass filter. The performance of the proposed scheme is tested via various quantitative assessments including entropy, mutual information, histogram, cross-correlation, and differential attack analysis. Performance metrics reveal robust security and high-quality reconstruction, achieving an entropy of 7.9976, a P S N R of 8.9967, and a B E R of 0.1111 for the Pepper image. Sensitivity analysis demonstrates resilience against differential attacks, with a U A C I of 34.6970 and an N P C R of 0.9973. The system is implemented using Optisystem 15.1 and MATLAB 2017a, and experimental results confirm superior performance compared to 22 existing techniques across various metrics, including entropy, mutual information, histogram analysis, and cross-correlation. This approach highlights the potential for secure real-time image transmission in optical networks while addressing challenges in satellite image encryption. • A unique image encryption algorithm is developed for real-time satellite image encryption using BB84 QKD protocol. • A 6D hyper-chaotic system is explored to provide a higher degree of security with reduced information loss. • A pixel scrambling process is performed using hyper-chaotic sequence to make the system more robust. • The performance of the network is analyzed under FSO channel for a link distance of 200 m.
Quantum key distribution (QKD) is a viable technique for safeguarding image transmission against numerous attacks. To address the limitations of existing methods in securing electronic medical records, we have explored an encryption technique using a set of real-time medical images along with existing standard images using QKD protocols including BB84 (Bennett-Brassard 1984), CASCADE (Cascading Error Correction Algorithm for Data Exchange), and differential-phase-shift (DPS) under the fiber-based (OFC) and free-space (FSO) channels. It utilizes the quantum bit-plane representation of the Real Ket (QBRK) model and a logistic chaotic system with XOR operation. The performance of the developed framework is tested via visual illustration and 11 different quantitative assessments. The average entropy of the scrambled image for the medical source image is 7.9896, which is quite near to the optimum value of 8. TheUACI(Unified Averaged Changed Intensity) and theNPCR(Number of Pixels Change Rate) metrics values lie between 33.7879 to 33.9711 and 99.6014 to 99.8000 for the FSO channel. The BB84 QKD protocol achieves a QBER (Quantum Bit Error Rate) of 0.0028 for an FSO channel with DCR (Dark Count Rate), which improves to 0.0012 when DCR is ignored for a 10 km link range. In addition, we analyzed and compared the effect of OFC on system output as the quantum channel. From several experiments, it is observed that the BB84 provides better results against CASCADE and DPS. The proposed work is validated using the Optisystem 15.1 software under FSO and for OFC.
Secure image transmission is increasingly vital in the digital era, especially against emerging quantum threats. This study proposes a hybrid image encryption scheme that integrates Quantum Key Distribution (QKD) using the BB84 protocol with a combination of 7-dimensional (7D) and 2-dimensional (2D) hyperchaotic systems to achieve robust security. The BB84 protocol facilitates quantum-assisted key exchange, ensuring resistance to eavesdropping, while the hyperchaotic systems provide high entropy and complex randomness, utilized in a layered permutation-substitution encryption framework. The initial seeds for chaotic sequences are derived using a SHA-512 hash of both the input image and quantum-generated key, ensuring uniqueness and sensitivity. Experimental validation was conducted using several benchmark images. The information entropy values of the ciphered images reached up to 7.9993, indicating excellent randomness. Differential analysis showed high resistance to small perturbations, with NPCR exceeding 99.61% and UACI averaging around 33.47%, which meet standard security thresholds. Histogram and chi-square tests confirmed the uniform pixel distribution, with chi-square values below 280, satisfying the randomness criterion for 8-bit images. Furthermore, correlation coefficients of adjacent pixels dropped to near zero, evidencing effective decorrelation. The encryption scheme also demonstrated robustness to data loss, as shown by the successful decryption of partially corrupted cipher images. Robustness testing under partial data loss (200×200-pixel blocks) also demonstrated visual recoverability and algorithm resilience. Overall, the proposed BB84-assisted dual-hyperchaotic encryption scheme offers a secure and computationally effective solution for protecting sensitive image data, making it suitable for post-quantum secure communications.
With the advancements in satellite communication, there arises a demand for the secure transmission of satellite and remote sensing images to the ground monitoring stations which has significant challenges due to the increased threat of cyber-attacks and the sensitive nature of those images. Existing classical cryptography methods fail to meet the advanced security demands. Thus, there arises a need for advanced cryptography techniques which ensure secure transmission of data in satellite communication. Recent advancements in quantum computing and research have shown that leveraging quantum mechanics and principles enhances security. We propose a novel quantum-based image encryption technique for securing satellite and remote sensing images during transmission named QCrypt. QCrypt utilizes the power of quantum chaotic maps, classic chaotic maps, and DNA encoding techniques to ensure the security of the images. QCrypt has been tested using a remote sensing image dataset and achieved increased performance in terms of resistance to histogram analysis, differential attacks, and chosen- plaintext attacks compared to traditional encryption methods. Our approach addresses the critical need for secure satellite data transmission and the use of quantum-based encryption to meet security demands.
Satellite images are critical for ecological monitoring and national security; thus, protecting its integrity is imperative. Nonetheless, existing encryption methods struggle to balance robustness and efficiency. This paper proposes a novel quantum chaos-based image encryption scheme (QCIES) combining a 4D hyperchaotic Lorenz system (4D-HLS) and quantum Fibonacci transform (QFT) addressing these limitations. During the encryption process, we first used The Generalized Quantum Image Representation (GQIR) technique to transform a conventional color image into quantum data. Then, 4D-HLS generates complex, unpredictable keys through bifurcation and sensitivity to initial conditions. 4D-HLS complex dynamics coupled with quantum pixel reorganization provide unprecedented resistance against statistical and brute-force attacks. Additionally, QFT with a quantum adder randomly encrypts pixel locations, producing the final encrypted image. Performance evaluation was conducted using Python to analyze key metrics including histogram distribution, information entropy, and adjacent pixel correlation. Extensive security testing revealed QCIES robust performance, achieving near-ideal correlation coefficients (< 0.004), information entropy (> 7.999), NPCR (99.64%), UACI (33.56%) and massive key space [Formula: see text]. The achieved [Formula: see text] key space notably exceeds the [Formula: see text] NIST standard, while maintaining computational efficiency through optimized quantum circuit design. These innovations establish a new benchmark for satellite image transmission in critical infrastructure applications.
With the growing demand for highly secure medical data transmission, this research introduces a fused cryptography framework that integrates mathematical quantum computing operations with advanced classical encryption techniques. The proposed method incorporates quantum principles, including quantum walks, quantum-based cyclic shift operators, quantum XOR operations, and quantum key image generation with classical methods such as bit-plane extraction and hyperchaotic system-based scrambling. A hyperchaotic map generates random key sequences to produce both a spatial domain random image and a quantum key image. The medical image is first decomposed into eight bit-planes, and only the high-information bit-planes (HIBPs) undergo encryption to optimize computational efficiency. HIBPs are scrambled using multilayer, block-wise, and diagonal permutations based on the chaotic sequences. Quantum encryption is then applied, starting with novel enhanced quantum representation encoding, followed by Baker map-based scrambling and quantum XOR diffusion to secure the final ciphertext. Extensive experiments, including entropy evaluation, noise attack resilience, clipping attack robustness, and correlation analysis, confirm the superior security and performance of the proposed method. Notably, the algorithm achieves near-ideal results, such as an entropy of 7.9999, a correlation coefficient of 0.0001, 98% plaintext recovery after 30% noise corruption, and 96% recovery after 25% ciphertext clipping, demonstrating its robustness for secure medical data transmission.
The emergence of quantum computing has introduced unprecedented security challenges to conventional cryptographic systems, particularly in the domain of optical communications. This research addresses these challenges by innovatively combining quantum key distribution (QKD), specifically the E91 protocol, with logistic chaotic maps to establish a secure image transmission scheme. Our approach utilizes the unpredictability of chaotic systems alongside the robust security mechanisms inherent in quantum entanglement. The scheme is further fortified with an eavesdropping detection mechanism based on CHSH inequality, thereby enhancing its resilience against unauthorized access. Through quantitative simulations, we demonstrate the effectiveness of this scheme in encrypting images, achieving high entropy and sensitivity to the original images. The results indicate a significant improvement in encryption and decryption efficiency, showcasing the potential of the scheme as a viable solution against the vulnerabilities posed by quantum computing advancements. Our research offers a novel perspective in secure optical communications, blending the principles of chaos theory with QKD to create a more robust cryptographic framework.