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Efficient ASIC Implementation and Analysis of Two EPC-C1G2 RFID Authentication Protocols

机译:两种EPC-C1G2 RFID身份验证协议的高效ASIC实现和分析

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The Internet of Things refers to the use of services provided by the networked objects (things) equipped with computational capabilities. A wide range of devices can be attached to objects to provide them with computing and networking functions, from RFID tags for identification purposes to a variety of wireless sensors. In the case of RFID technologies operating in the UHF band, the EPC Class-1 Generation-2 (EPC-C1G2) is one of the most established working frameworks. The security of this standard is quite low and many researchers have proposed over the last years alternative schemes aimed at correcting its multiple vulnerabilities. Unfortunately, the hardware implementation of such protocols has been long neglected, and it is unclear whether these proposals could fit a low-cost device where very few resources can be devoted to the security functions. In this paper, we address this question by reporting our experiences with the ASIC implementation of two representative EPC-C1G2 authentication protocols. We explore the design space and provide a detailed analysis of the area occupied by the synthesized circuits, their power consumption, and the throughput in terms of protocol runs per second. To the best of our knowledge, this is the first ASIC implementation of two lightweight protocols conforming the EPC-C1G2 specification. We believe that some of the discussion and insights here reported could be helpful to future implementations, both for RFID systems and resource-constrained sensors.
机译:物联网是指使用具有计算能力的网络对象(事物)提供的服务。从用于识别目的的RFID标签到各种无线传感器,各种各样的设备都可以连接到对象上,从而为它们提供计算和联网功能。就在UHF频段中运行的RFID技术而言,EPC 1级第二代(EPC-C1G2)是最成熟的工作框架之一。该标准的安全性很低,并且在过去几年中许多研究人员提出了旨在纠正其多个漏洞的替代方案。不幸的是,这种协议的硬件实现长期以来一直被忽略,并且尚不清楚这些提议是否可以适用于低成本设备,在这种设备中很少有资源可以用于安全功能。在本文中,我们通过报告我们在两种代表性EPC-C1G2身份验证协议的ASIC实现方面的经验来解决此问题。我们探索了设计空间,并以每秒协议运行的方式详细分析了合成电路所占的面积,其功耗以及吞吐量。据我们所知,这是两种符合EPC-C1G2规范的轻量协议的ASIC实现。我们相信,这里报道的一些讨论和见解可能对RFID系统和资源受限的传感器的未来实现很有帮助。

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