This study proposes a secure and privacy-preserving protocol for outsourcing health data processing operations during the emergency in the mobile healthcare network. The proposed protocol provides a practical solution to utilise smartphone resources at both remote and nearby for processing the overwhelming personal health information (PHI) of a user in healthcare emergency opportunistically and securely. The patients with symptoms matching with those of the user in an emergency are considered as opportunities to minimise the privacy disclosure of the user. Opportunities at both remote and nearby are exploited with the help of a base station in the 4G network. Moreover, novel and efficient outsourced privacy access control schemes are developed to minimise the power drain of the user in an emergency without compromising his privacy. The outsourced privacy access control is facilitated through the design of innovative schemes for outsourced attribute-based access mechanism and an outsourced privacy-preserving scalar product computation. Detailed performance evaluations through implementations on Raspberry Pi 3B + board and simulations using NS3 network simulator and Scyther tool confirm the efficiency of the proposed protocol in providing highly reliable PHI processing and transmissions with reasonably low delay and energy consumption while maintaining user privacy.

中文翻译：

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SPCOR：用于移动医疗紧急情况的安全和隐私保护协议，可在偏远和附近获得计算机会

这项研究提出了一种安全和隐私保护的协议，用于在移动医疗网络紧急情况下外包健康数据处理操作。所提出的协议提供了一种实用的解决方案，可以利用远程和附近的智能手机资源来机会性地，安全地处理用户在医疗急诊中的压倒性个人健康信息（PHI）。具有紧急情况下与用户的症状相匹配的症状的患者被视为最大程度地减少用户的隐私披露的机会。借助4G网络中的基站，可以利用远程和附近的机会。而且，开发了新颖且有效的外包隐私访问控制方案，以在不危及用户隐私的情况下将用户在紧急情况下的功耗最小化。通过针对基于属性的外包访问机制的创新方案的设计和用于保护隐私的标量产品的外包计算，可以方便地进行外包隐私访问控制。通过在Raspberry Pi 3B +板上实现的详细性能评估以及使用NS3网络模拟器和Scyther工具的仿真，证实了所建议协议在提供高度可靠的PHI处理和传输方面具有相当低的延迟和能耗，同时又保持了用户隐私的效率。