IEEE/ACM Trans Comput Biol Bioinform. 2024 Jul-Aug;21(4):1106-1116. doi: 10.1109/TCBB.2022.3230053. Epub 2024 Aug 8.
The rapid development of Big Data technology supports the advancement of many fields like industrial automation, smart healthcare, distributed systems, and many more. Big data is large and heterogeneous data generated from different sources, such as Internet of Things (IoT) devices, weather forecasting, traffic management systems, etc. However, in a distributed smart healthcare industry, unauthorized users or devices can illegally access healthcare Big Data, as well as control the sensor or IoT-enabled devices connected to a patient's body. They can even alter patients' healthcare Big Data by inserting false and misleading data, which may even cause death to the patient. This study presents a lightweight privacy-preserving user authentication scheme to solve the above-said problems in a distributed smart healthcare system. The proposed scheme prevents unauthorized users from getting access to the healthcare system by establishing a secure session for the authorized user. Here, the password protection mechanism allows only a legitimate user to access and modify the patient's healthcare Big Data. The security strength and effectiveness of the proposed authentication scheme is evaluated in this article, which show that it is more efficient and secure than the state-of-the-art schemes.
大数据技术的快速发展支持了许多领域的进步，如工业自动化、智能医疗保健、分布式系统等。大数据是由物联网 (IoT) 设备、天气预报、交通管理系统等不同来源生成的大型异质数据。然而，在分布式智能医疗保健行业中，未经授权的用户或设备可能会非法访问医疗保健大数据，以及控制连接到患者身体的传感器或物联网设备。他们甚至可以通过插入虚假和误导性数据来篡改患者的医疗保健大数据，这甚至可能导致患者死亡。本研究提出了一种轻量级的隐私保护用户认证方案，以解决分布式智能医疗保健系统中上述问题。所提出的方案通过为授权用户建立安全会话来防止未经授权的用户访问医疗保健系统。在这里，密码保护机制仅允许合法用户访问和修改患者的医疗保健大数据。本文评估了所提出的认证方案的安全性和有效性，结果表明它比现有方案更高效、更安全。
