Industry 5.0 is the digitalization, automation, and data exchange of industrial processes that involve artificial intelligence, industrial Internet of Things (IIoT), and industrial cyber-physical systems (I-CPS). In healthcare, I-CPS enables the intelligent wearable devices to gather data from the real-world and transmit to the virtual world for decision-making. I-CPS makes our lives comfortable with the emergence of innovative healthcare applications. Similar to any other IIoT paradigm, I-CPS capable healthcare applications face numerous challenging issues. The resource-constrained nature of wearable devices and their inability to support complex security mechanisms provide an ideal platform to malevolent entities for launching attacks. To preserve the privacy of wearable devices and their data in an I-CPS environment, in this article we propose a lightweight mutual authentication scheme. Our scheme is based on client-server interaction model that uses symmetric encryption for establishing secured sessions among the communicating entities. After mutual authentication, the privacy risk associated with a patient data is predicted using an AI-enabled hidden Markov model. We analyzed the robustness and security of our scheme using Burrows-Abadi-Needham logic. This analysis shows that the use of lightweight security primitives for the exchange of session keys makes the proposed scheme highly resilient in terms of security, efficiency, and robustness. Finally, the proposed scheme incurs nominal overhead in terms of processing, communication and storage and is capable to combat a wide range of adversarial threats.

中文翻译：

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工业CPS中智能穿戴设备的轻量级相互认证与隐私保护方案


工业 5.0 是工业流程的数字化、自动化和数据交换，涉及人工智能、工业物联网 (IIoT) 和工业网络物理系统 (I-CPS)。在医疗保健领域，I-CPS 使智能可穿戴设备能够从现实世界收集数据并将其传输到虚拟世界以供决策。随着创新医疗保健应用的出现，I-CPS 让我们的生活变得更加舒适。与任何其他 IIoT 范例类似，支持 I-CPS 的医疗保健应用面临着许多具有挑战性的问题。可穿戴设备的资源受限性质及其无法支持复杂的安全机制，为恶意实体发起攻击提供了理想的平台。为了在 I-CPS 环境中保护可穿戴设备及其数据的隐私，在本文中，我们提出了一种轻量级的相互身份验证方案。我们的方案基于客户端-服务器交互模型，该模型使用对称加密在通信实体之间建立安全会话。相互身份验证后，使用支持人工智能的隐藏马尔可夫模型来预测与患者数据相关的隐私风险。我们使用 Burrows-Abadi-Needham 逻辑分析了我们方案的稳健性和安全性。该分析表明，使用轻量级安全原语进行会话密钥交换使得所提出的方案在安全性、效率和鲁棒性方面具有高度弹性。最后，所提出的方案在处理、通信和存储方面产生名义上的开销，并且能够对抗广泛的对抗性威胁。