Adaptive Information Coding for Secure and Reliable Wireless Telesurgery Communications
Adaptive Information Coding for Secure and Reliable Wireless Telesurgery Communications
复制标题
用于安全可靠的无线远程手术通信的自适应信息编码
DOI：
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发表时间：
2011
期刊：
影响因子：
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通讯作者：
B. Chu
中科院分区：
文献类型：
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作者：
M. E. Tozal;Yongge Wang;E. Al;Kamil Saraç;B. Thuraisingham;B. Chu
远程手术机器人系统（TRS）多年来一直是学术、军事和商业领域研究的焦点。现代TRS解决战场、水下和灾区等极端领域中出现的关键任务操作。这些领域缺乏有线通信基础设施，不可避免地需要使用卫星和自组织网络等无线技术。无线环境中的 TRS 提出了独特的挑战，例如保持一定的可靠性阈值、遵守一些最大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将轻量级隐私和自适应可靠性集成在一个称为安全和统计可靠 UDP (SSR-UDP) 的单一协议中。我们证明所提供的安全性相当于现有的基于 AES 的长密钥加密系统，但计算开销显着减少。此外，我们还证明所提出的方案可以满足高损耗环境中 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 协议也可以用于类似的网络物理无线应用领域。
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.