Ye Weiping, Wang Jia, Tian Hui, Quan Hanyu
College of Computer Science and Technology, Huaqiao University, Xiamen, 361021, China.
Wuhan National Laboratory for Optoelectronics, Wuhan, 430074, China.
Front Optoelectron. 2022 Jun 29;15(1):29. doi: 10.1007/s12200-022-00028-1.
With the advancement of industrial internet of things (IIoT), wireless medical sensor networks (WMSNs) have been widely introduced in modern healthcare systems to collect real-time medical data from patients, which is known as HealthIIoT. Considering the limited computing and storage capabilities of lightweight HealthIIoT devices, it is necessary to upload these data to remote cloud servers for storage and maintenance. However, there are still some serious security issues within outsourcing medical sensor data to the cloud. One of the most significant challenges is how to ensure the integrity of these data, which is a prerequisite for providing precise medical diagnosis and treatment. To meet this challenge, we propose a novel and efficient public auditing scheme, which is suitable for cloud-assisted HealthIIoT system. Specifically, to address the contradiction between the high real-time requirement of medical sensor data and the limited computing power of HealthIIoT devices, a new online/offline tag generation algorithm is designed to improve preprocessing efficiency; to protect medical data privacy, a secure hash function is employed to blind the data proof. We formally prove the security of the presented scheme, and evaluate the performance through detailed experimental comparisons with the state-of-the-art ones. The results show that the presented scheme can greatly improve the efficiency of tag generation, while achieving better auditing performance than previous schemes.
随着工业物联网（IIoT）的发展，无线医疗传感器网络（WMSNs）已被广泛应用于现代医疗系统，以收集患者的实时医疗数据，这就是所谓的健康物联网（HealthIIoT）。考虑到轻量级健康物联网设备有限的计算和存储能力，有必要将这些数据上传到远程云服务器进行存储和维护。然而，将医疗传感器数据外包给云仍然存在一些严重的安全问题。最重大的挑战之一是如何确保这些数据的完整性，这是提供精确医疗诊断和治疗的先决条件。为了应对这一挑战，我们提出了一种新颖且高效的公共审计方案，该方案适用于云辅助的健康物联网系统。具体而言，为了解决医疗传感器数据的高实时性要求与健康物联网设备有限的计算能力之间的矛盾，设计了一种新的在线/离线标签生成算法以提高预处理效率；为了保护医疗数据隐私，采用安全哈希函数对数据证明进行盲化处理。我们正式证明了所提方案的安全性，并通过与现有最先进方案的详细实验比较来评估其性能。结果表明，所提方案能够极大地提高标签生成效率，同时实现比以前方案更好的审计性能。
