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Adaptive Information Coding for Secure and Reliable Wireless Telesurgery Communications

机译:用于安全可靠的无线远程手术通信的自适应信息编码

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Telesurgical Robot Systems (TRSs) have been the focus of research in academic, military, and commercial domains for many years. Contemporary TRSs address mission critical operations emerging in extreme fields such as battlefields, underwater, and disaster territories. The lack of wirelined communication infrastructure in such fields makes the use of wireless technologies including satellite and ad-hoc networks inevitable. TRSs over wireless environments pose unique challenges such as preserving a certain reliability threshold, adhering some maximum tolerable delay, and providing various security measures depending on the nature of the operation and communication environment. In this study, we present a novel approach that uses information coding to integrate both light-weight privacy and adaptive reliability in a single protocol called Secure and Statistically Reliable UDP (SSR-UDP). We prove that the offered security is equivalent to the existing AES-based long key crypto systems, yet, with significantly less computational overhead. Additionally, we demonstrate that the proposed scheme can meet high reliability and delay requirements of TRS applications in highly lossy environments while optimizing the bandwidth use. Our proposed SSR-UDP protocol can also be utilized in similar cyber-physical wireless application domains.
机译:多年来,远程外科机器人系统(TRS)一直是学术,军事和商业领域研究的重点。当代的TRS解决了在战场,水下和灾区等极端领域中出现的关键任务行动。在这些领域中缺少有线通信基础设施使得不可避免地使用包括卫星和自组织网络在内的无线技术。无线环境上的TRS面临独特的挑战,例如保持一定的可靠性阈值,遵守一些最大的可容忍延迟以及根据操作和通信环境的性质提供各种安全措施。在这项研究中,我们提出了一种新颖的方法,该方法使用信息编码在称为安全和统计可靠的UDP(SSR-UDP)的单个协议中集成了轻量级隐私和自适应可靠性。我们证明了所提供的安全性等效于现有的基于AES的长密钥加密系统,但计算开销却大大减少。此外,我们证明了该方案可以在高损耗环境中满足TRS应用的高可靠性和延迟要求,同时优化带宽使用。我们提出的SSR-UDP协议也可以在类似的网络物理无线应用领域中使用。

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