QMedShield: A Novel Quantum Chaos-based Image Encryption Scheme for Secure Medical Image Storage in the Cloud
Arun Amaithi Rajan, Vetriselvi V

TL;DR
This paper introduces a quantum chaos-based encryption scheme for medical images, enhancing security for cloud storage by combining quantum operations, chaotic maps, and DNA encoding, and demonstrating robustness against attacks.
Contribution
It presents a novel quantum chaos-based encryption model specifically designed for secure medical image storage in cloud environments, integrating multiple quantum and chaotic techniques.
Findings
Proves to be attack-resistant and robust against differential attacks
Outperforms existing image encryption schemes in security measures
Validated on multiple medical datasets
Abstract
In the age of digital technology, medical images play a crucial role in the healthcare industry which aids surgeons in making precise decisions and reducing the diagnosis time. However, the storage of large amounts of these images in third-party cloud services raises privacy and security concerns. There are a lot of classical security mechanisms to protect them. Although, the advent of quantum computing entails the development of quantum-based encryption models for healthcare. Hence, we introduce a novel quantum chaos-based encryption scheme for medical images in this article. The model comprises bit-plane scrambling, quantum logistic map, quantum operations in the diffusion phase and hybrid chaotic map, DNA encoding, and computations in the confusion phase to transform the plain medical image into a cipher medical image. The proposed scheme has been evaluated using multiple statistical…
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