为基于物联网的健康监测系统提供强大的数据隐私框架

Punam Prabha, Kakali Chatterjee
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引用次数: 0

摘要

如今,由于云服务器存储的敏感数据价值高,卫生部门成为网络攻击的主要目标,因此需要在健康监测系统中建立强大的数据隐私框架。本文提出了一个为健康监测系统设计的健壮的数据隐私框架,解决了安全处理敏感患者信息的关键需求。该框架集成了混合共识机制、环签名机制和数据认证机制,确保区块链基础设施的可持续性和安全性、框架的鲁棒性以及数据的准确性和一致性。此外,安全性-性能效率度量表明,与现有框架相比,所提出的鲁棒数据隐私框架在改进事务处理和区块链管理方面是有效和高效的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards a robust data privacy framework for IoT based health monitoring system
Nowadays, the need for a robust data privacy framework in health monitoring system is driven because the health sector is a prime target for cyber-attacks due to the high value of sensitive data on the cloud server storage. This paper presents a robust data privacy framework designed for health monitoring systems, addressing the critical need for secure handling of sensitive patient information. The proposed framework integrates hybrid consensus mechanism, ring signature mechanism, and data authentication mechanism to ensure sustainable and secure blockchain infrastructure, robust framework, and accuracy and consistency of data. Moreover, Security-Performance Efficiency Metric show that the proposed robust data privacy framework is effective and efficient in compare to existing framework for improving transaction processing and blockchain administration.
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