Kumar Vinod, Mahmoud Mahmoud Shuker, Alkhayyat Ahmed, Srinivas Jangirala, Ahmad Musheer, Kumari Adesh
Department of Mathematics, PGDAV College, University of Delhi, New Delhi, 110065 India.
Al-Mansour University College, Baghdad, Iraq.
J Supercomput. 2022;78(14):16167-16196. doi: 10.1007/s11227-022-04513-4. Epub 2022 May 2.
With the fast growth of technologies like cloud computing, big data, the Internet of Things, artificial intelligence, and cyber-physical systems, the demand for data security and privacy in communication networks is growing by the day. Patient and doctor connect securely through the Internet utilizing the Internet of medical devices in cloud-healthcare infrastructure (CHI). In addition, the doctor offers to patients online treatment. Unfortunately, hackers are gaining access to data at an alarming pace. In 2019, 41.4 million times, healthcare systems were compromised by attackers. In this context, we provide a secure and lightweight authentication scheme (RAPCHI) for CHI employing Internet of medical Things (IoMT) during pandemic based on cryptographic primitives. The suggested framework is more secure than existing frameworks and is resistant to a wide range of security threats. The paper also explains the random oracle model (ROM) and uses two alternative approaches to validate the formal security analysis of RAPCHI. Further, the paper shows that RAPCHI is safe against man-in-the-middle and reply attacks using the simulation programme AVISPA. In addition, the paper compares RAPCHI to related frameworks and discovers that it is relatively light in terms of computation and communication. These findings demonstrate that the proposed paradigm is suitable for use in real-world scenarios.
随着云计算、大数据、物联网、人工智能和信息物理系统等技术的快速发展,通信网络中对数据安全和隐私的需求与日俱增。患者和医生通过互联网在云医疗基础设施(CHI)中利用医疗物联网设备进行安全连接。此外,医生为患者提供在线治疗。不幸的是,黑客获取数据的速度惊人。2019年,医疗系统遭受攻击者攻击达4140万次。在此背景下,我们基于加密原语为疫情期间使用医疗物联网(IoMT)的CHI提供了一种安全且轻量级的认证方案(RAPCHI)。所提出的框架比现有框架更安全,能抵御多种安全威胁。本文还解释了随机预言模型(ROM),并使用两种替代方法对RAPCHI进行形式化安全分析验证。此外,本文通过模拟程序AVISPA表明RAPCHI对中间人攻击和重放攻击具有安全性。另外,本文将RAPCHI与相关框架进行比较,发现其在计算和通信方面相对较轻。这些结果表明所提出的范例适用于实际场景。