面向智能医疗通信环境的高可靠性可验证安全与隐私配置协议

V. O. Nyangaresi, Z. Abduljabbar, Junchao Ma, Mustafa A. Al Sibahee
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引用次数: 4

摘要

由人体传感器单元收集并通过公共无线通信通道传输的关键患者数据暴露于许多隐私和安全攻击中。因此,需要部署健壮的安全解决方案来维护完整性、机密性和可用性。此外,传感器节点的资源约束特性在计算能力、能量、带宽和存储需求方面要求高效的认证协议。为此,许多基于公钥基础设施、区块链和双线性对的协议不适合在这些传感器网络中部署。除了效率不足之外,大多数传统的安全协议都无法抵御大多数典型的无线体域网络攻击。为此,本文提出了一种基于椭圆曲线的可验证安全与隐私提供协议。通过对Dolev-Yao (D-Y)和Canetti-Krawczyk (CK)威胁模型的鲁棒性验证了该方法的可靠性。另一方面,使用执行时间和带宽需求来研究其轻量级和高效的性质,与其他方案相比,这表明它是最小的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Verifiable Security and Privacy Provisioning Protocol for High Reliability in Smart Healthcare Communication Environment
Critical patient data collected by body sensor units and transmitted over public wireless communication channels is exposed to numerous privacy and security attacks. As such, there is need for deployment of robust security solutions to uphold integrity, confidentiality and availability. In addition, the resource constrained nature of sensor nodes require efficient authentication protocols in terms of computation power, energy, bandwidth and storage requirements. To this end, many protocols based on public key infrastructure, blockchain and bilinear pairings are unsuitable for deployment in these sensor networks. Apart from efficiency shortfalls, most of the conventional security protocols cannot withstand majority of the typical wireless body area networks attacks. To this effect, a verifiable security and privacy provisioning protocol based on elliptic curve is presented in this paper. The reliability of the proposed is demonstrated via its robustness under Dolev–Yao (D-Y) and Canetti-Krawczyk (CK) threat models. On the other hand, its lightweight and efficient nature is investigated using execution time and bandwidth requirements, which are shown to be the least when compared with other schemes.
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