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arXiv 2405.09191cs.CRcs.MM

QMedShield:一种基于量子混沌的新型图像加密方案,用于云环境中医疗图像的安全存储

QMedShield: A Novel Quantum Chaos-based Image Encryption Scheme for Secure Medical Image Storage in the Cloud

Arun Amaithi Rajan, Vetriselvi V

AI总结:

针对云存储医疗图像的隐私安全问题,提出基于量子混沌的QMedShield加密方案,通过位平面置乱、量子操作、DNA编码等步骤实现加密,经多指标评估和攻击验证,其抗攻击性和鲁棒性优于现有方案,保障云环境中医疗图像安全存储。

摘要:

在数字技术时代,医疗图像在医疗行业中起着至关重要的作用,它帮助外科医生做出精确决策并缩短诊断时间。然而,将大量此类图像存储在第三方云服务中引发了隐私和安全方面的担忧。目前有许多经典的安全机制来保护它们,但量子计算的出现推动了医疗领域基于量子的加密模型的发展。因此,本文提出了一种新型的基于量子混沌的医疗图像加密方案。该模型包括位平面置乱、量子逻辑映射、扩散阶段的量子操作,以及混淆阶段的混合混沌映射、DNA编码和计算,以将原始医疗图像转换为加密医疗图像。所提方案已通过多种统计指标进行评估,并针对差分攻击等多种攻击在三个不同的医疗数据集上进行了验证。因此,所提出的加密模型被证明比其他现有图像加密方案更具抗攻击性和鲁棒性,确保了医疗图像在云环境中的安全存储。

英文摘要:

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 measures and validated against more attacks such as differential attacks with three different medical datasets. Hence the introduced encryption model has proved to be attack-resistant and robust than other existing image encryption schemes, ensuring the secure storage of medical images in cloud environments.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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