Nowadays, digital medical images have become an essential source for the grand success of e-health technology. At the same time, the massive storage also plays a vital role. One of cloud storage’s main objectives is the affordable and easily accessible storage of vast amounts of multi-structured data. The cloud paradigm gives an illusion of infinite storage of data. The future of Cyber-Physical Systems (CPS) relies upon technologies like cloud computing to thrive. However, the major lacuna is data security. This paper deals with the Confidentiality Integrity Availability (CIA) aspects required for cloud-based medical image repositories. Since it is for the medical image, the Region of Interest (RoI) is separated, and the integrity check is applied for RoI. A two-tier security for the medical image has been proposed, including an additional security layer for RoI. A 3-D Lorenz chaotic attractor has been used to generate the key where the keyspace is widely increased. Deoxyribonucleic Acid (DNA) based image diffusion in different stages of cryptosystem offered an average entropy of 7.98042 and a correlation of 0.002864 for RoI only and for ciphered medical image an average entropy of 7.99724 and a correlation of − 0.00063. Text encryption is performed over metadata to ensure the privacy of client authentication. Encrypted metadata and 320 bits have been generated for the RoI part embedded in an image’s Non-Region of Interest (NRoI) part in the random pixel indexes obtained using a 1D Tent map. This proposed approach also gives a Graphical User Interface developed using Python 3.8 to support non-technical persons or medical practitioners. The proposed security framework provides a complete CIA triad for medical image repositories in the cloud.

如今，数字医学图像已成为电子医疗技术取得巨大成功的重要来源。同时，海量存储也发挥着至关重要的作用。云存储的主要目标之一是以经济实惠且易于访问的方式存储大量多结构数据。云范式给人一种无限存储数据的错觉。网络物理系统 (CPS) 的未来依赖于云计算等技术的蓬勃发展。然而，主要的缺陷是数据安全。本文讨论基于云的医学图像存储库所需的机密性完整性可用性 (CIA) 方面。由于是针对医学图像，因此分离出感兴趣区域（RoI），并对RoI应用完整性检查。已经提出了医学图像的两层安全性，包括用于 RoI 的附加安全层。使用 3-D 洛伦兹混沌吸引子来生成密钥，其中密钥空间大幅增加。在密码系统的不同阶段中，基于脱氧核糖核酸 (DNA) 的图像扩散提供的平均熵为 7.98042，相关性为 0.002864，仅对于 RoI，对于加密医学图像，平均熵为 7.99724，相关性为 - 0.00063。对元数据进行文本加密，以确保客户端身份验证的隐私性。使用 1D Tent 地图获得的随机像素索引中，已为嵌入图像非感兴趣区域 (NRoI) 部分的 RoI 部分生成了加密元数据和 320 位。这种提议的方法还提供了使用 Python 3.8 开发的图形用户界面，以支持非技术人员或医疗从业者。拟议的安全框架为云中的医学图像存储库提供了完整的 CIA 三元组。