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Journal of Information Security and Applications

Chaos based quantum key generation for image encryption/decryption in secure communication

Meera K․, Priyanshu Mishra, Vasanth C․, Narayanasamy Selvaganesan

Published Jul 9, 2026• 0 citations
Publisher
DOI
10.1016/j.jisa.2026.104565

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As a computational imaging technology, computational ghost imaging has shown considerable potential for applications in many fields such as secure communication and remote sensing detection. However, the bucket detection value of traditional ghost imaging systems is prone to eavesdropping or tampering during transmission, resulting in information leakage or image distortion. In order to further enhance the security during the imaging process, this paper proposes a scheme for computing ghost imaging based on quantum key encryption. This method uses MATLAB simulation to generate random speckle values and bucket detection values. At the sending end, a QKD system is used to generate a truly random quantum key. The bucket detection value is encrypted using the one-time pad encryption algorithm, and the ciphertext and speckle values are sent to the receiving end through a classical channel; At the receiving end, the bucket detection value is decrypted using the corresponding quantum key, and the reconstruction of the target image is completed by combining the speckle value. Experiments have shown that the encrypted bucket detection value has extremely high security during transmission, and the quality of the decrypted reconstructed image can be measured by the peak signal-to-noise ratio. When the key is accurate, it can reach over 33dB, which is basically consistent with the results obtained from unencrypted imaging.
This research presents a novel hybrid image encryption system that combines quantum cryptography, chaos theory and reservoir computing to address the limitations of conventional encryption methods. With the rapid advancements in quantum computing, traditional systems like RSA, DHKE (related to prime number factorization) are vulnerable to quantum attacks i.e. Shor's algorithm, Grover's algorithm. In response, this study proposes a hybrid solution that uses quantum cryptographic protocols, particularly the E91 protocol, to generate secure, eavesdrop-proof keys through quantum entanglement. The integration of chaos theory, specifically the Lorenz hyper-chaotic system, enhances the encryption system by adding unpredictability and sensitivity to initial conditions, making it more resistant to both classical and quantum-based attacks. Reservoir computing is used to improve computational efficiency, enabling faster and more effective encryption and decryption processes. The system achieved encryption times as low as 0.0296s and decryption times as low as 0.0164s for 128x128 images, with MAE reduced for 300-600 node networks, and NPCR and UACI above 99.6% and 0.49, respectively, across various image sizes and configurations. By combining quantum cryptography, chaos theory and reservoir computing, this approach offers both enhanced security and practical feasibility for image encryption in the age of quantum computing.