人体区域网络的绿色和可持续的网络物理安全解决方案

K. Venkatasubramanian, Ayan Banerjee, S. Gupta
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引用次数: 34

摘要

基于无线传感器的身体区域网络(BAN)可以在提供个性化保健方面发挥重要作用。由于电源有限,BAN中的传感器必须节能,以确保网络的寿命和安全。近年来出现了一种新的BAN安全解决方案,称为网络物理安全解决方案,它可以在BAN中使用环境派生的功能实现即插即用的安全通信。然而,由于这种环境耦合的性质,它们需要信号处理和数学例程,这对于单个传感器来说可能非常耗能。在本文中,我们描述了一种网络物理安全解决方案的“能量足迹”,即基于生理信号的密钥协议(PKA)。目标是- 1)计算PKA的能量消耗,以及2)确定是否可以使用突出的能量清除技术来满足其要求。我们的研究结果表明,PKA的能量需求很小,并且通过许多突出的能量清除技术(如体热和移动)是可持续的,使其成为大规模部署的“绿色”解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Green and Sustainable Cyber-Physical Security Solutions for Body Area Networks
Wireless sensor-based Body Area Networks (BAN) can play a major role in providing individualized health-care. Given their limited power sources, sensors in BAN have to be energy-efficient to ensure longevity and safety of the network. Recent years have seen the emergence of a new class of security solutions for BANs, called cyber-physical security solutions, which enable plug-n-play secure communication within a BAN using environment derived features. However, due to this environment-coupled nature, they require signal processing and mathematical routines which can be potentially very energy-intensive for individual sensors. In this paper, we characterize the "energy footprint" of a cyber-physical security solution, the Physiological signal based Key Agreement (PKA). The goal is to - 1) compute PKA's energy consumption, and 2) determine whether prominent energy scavenging techniques can be used to meet its requirements. Our results show that the energy requirements of PKA is small and is sustainable by many of the prominent energy scavenging techniques, such as body heat and ambulation, making it a "green" solution for large scale deployments.
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