Zhou Ziyuan, Chen Long, Zhao Yekang, Yang Xinyi, Han Zhaoyang, He Zheng
School of Computer Science, School of Cyber Science and Engineering, Engineering Research Center of Digital Forensics, Ministry of Education, Nanjing University of Information Science and Technology, Nanjing 210044, China.
School of Software, Shandong University, Jinan 250100, China.
Sensors (Basel). 2024 Nov 24;24(23):7487. doi: 10.3390/s24237487.
The proliferation of Internet of Things (IoT) technology has significantly enhanced smart healthcare systems, enabling the collection and processing of vast healthcare datasets such as electronic medical records (EMRs) and remote health monitoring (RHM) data. However, this rapid expansion has also introduced critical challenges related to data security, privacy, and system reliability. To address these challenges, we propose a retrieval integrity verification and multi-system data interoperability mechanism for a Blockchain Oracle in smart healthcare with IoT Integration (RIVMD-BO). The mechanism uses the cuckoo filter technology to effectively reduce the computational complexity and ensures the authenticity and integrity of data transmission and use through data retrieval integrity verification. The experimental results and security analysis show that the proposed method can improve system performance while ensuring security.
物联网(IoT)技术的激增显著增强了智能医疗系统,使得能够收集和处理大量医疗数据集,如电子病历(EMR)和远程健康监测(RHM)数据。然而,这种快速扩张也带来了与数据安全、隐私和系统可靠性相关的关键挑战。为应对这些挑战,我们提出了一种用于具有物联网集成的智能医疗中的区块链预言机的检索完整性验证和多系统数据互操作性机制(RIVMD-BO)。该机制使用布谷鸟过滤器技术有效降低计算复杂度,并通过数据检索完整性验证确保数据传输和使用的真实性和完整性。实验结果和安全分析表明,所提出的方法在确保安全性的同时可以提高系统性能。