CPLM:云促进隐私屏蔽泄漏弹性移动健康监测

R. J. Anita, Dr Narayana Rao Appini
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引用次数: 1

摘要

云辅助移动健康(mHealth)监测是在卫生保健部门提供决策支持的一种革命性方法。它不仅使用移动通信,还使用云计算技术来提供及时的建议。其主要目标不仅是提高医疗服务质量,而且是减少医疗支出。尽管它提供了好处,但毋庸置疑,这种移动健康监测系统的接受程度受到了影响,因为它没有保护患者的个人数据,也没有保护医疗服务提供商的数据。因此,移动医疗技术的广泛部署受到阻碍,患者对参与这种移动医疗监测计划的同意也减少了。云促进隐私屏蔽泄漏弹性移动健康监测解决了前面提到的限制,除了处理侧信道攻击外,还为相关方及其数据提供隐私屏蔽。考虑到所涉及各方的资源约束,实施外包解密和代理再加密,将隐私保护方案的计算工作转移到云服务器,而不影响客户和医疗保险提供者的个人数据。通过实现虚拟机监管方法来处理侧信道攻击。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
CPLM: Cloud facilitated privacy shielding leakage resilient mobile health monitoring
Cloud-assisted mobile health (mHealth) monitoring is a revolutionary approach to provide decision support in the health care sector. It employs not only mobile communications but also cloud computing technologies to deliver timely suggestions. Its main objective is to not only improve the quality of healthcare service but also to decrease the healthcare expenditure. In spite of the benefits it offers, needless to say the acceptance of such a mobile health monitoring system is affected as it doesn't shield the patients' personal data and also the data of the medicare service providers. As a result of which the wide deployment of mHealth technology is hindered and the patients' consent to participate in such a mobile medicare monitoring scheme is abated. Cloud Facilitated Privacy Shielding Leakage Resilient Mobile Health Monitoring addresses the fore mentioned limitations by offering a privacy shield to the involved parties and their data in addition to handling the side channel attack. To take into consideration the resource constraints of the parties involved, outsourcing decryption and proxy re-encryption are implemented to transfer the computational effort of the privacy shielding scheme to the cloud server without affecting the personal data of the clients and that of the Medicare providers. The side channel attack is handled by implementing a Virtual machine policing approach.
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