协同边缘计算中基于puf的边缘数据中心认证方案

Seema G. Aarella, S. Mohanty, E. Kougianos, Deepak Puthal
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引用次数: 1

摘要

当所需的基础设施变得更加分散时,雾计算变得越来越重要。雾计算和边缘计算的区别在于前者在云和边缘设备之间有节点。在某种程度上,雾计算和边缘计算使数据处理更接近终端用户设备。边缘数据中心(EDCs)被用来使处理能力更接近最终用户,以解决实时应用程序中的延迟、带宽、电池寿命限制以及数据隐私和安全问题。边缘数据中心用于跨网络边缘的协作边缘计算环境,它们通过负载平衡提供不间断的处理,其中过载的边缘数据中心可以将其任务卸载到下一个可用的边缘数据中心。在应用负载平衡的协作边缘计算环境中,对edc进行身份验证是一个挑战。物理不可克隆函数(puf)是用于身份验证和安全密钥存储的轻量级创新原语。本文提出了一种新的edc身份验证方案,使用虚拟物理不可克隆函数作为安全选项。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
PUF-based Authentication Scheme for Edge Data Centers in Collaborative Edge Computing
Fog computing gained importance when the re-quired infrastructure became more decentralized. The difference between Fog and Edge computing is that the former has nodes between the cloud and edge devices. In a way both fog and edge computing bring data processing closer to end-user devices. Edge Data Centers (EDCs) are employed to bring the processing power closer to the end-user to address latency in real-time applications, bandwidth, battery life constraints, as well as data privacy and safety. Edge Data centers are employed in collaborative edge computing environments across network edges, and they deliver uninterrupted processing through load balancing, where an overloaded Edge Data Center can off-load its task to the next available EDC. Authenticating EDCs is one of the challenges in collaborative edge computing environment where load balancing is applied. Physical Unclonable Functions (PUFs) are lightweight innovative primitives that are used for authentication and secure key storage. This work proposes a novel authentication scheme for EDCs using virtual Physical Unclonable Functions as a secure oPtion.
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