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FPGA based device specific key generation method using Physically Uncloanble Functions and neural networks

机译:基于FPGA的设备特定密钥生成方法,使用物理上遮透函数和神经网络

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The fierce competition in today's global market has made trustworthy authentication an essential aspect for the implementation of valuable designs. FPGAs, in particular, need built-in security not only to prevent reverse engineering but also to prevent hacking and cloning. To counter such threats, methodologies for preventing IC piracy have been developed that require a unique signature key for every fabricated chip. Physically Unclonable Functions are circuits that are capable of generating a unique signature for a given IC. This paper presents a design for trustworthy authentication of an FPGA taking advantage of its unique architecture. The PUFs are implemented on Xilinx Spartan XC2S100 FPGAs. Intra chip and Inter chip responses are analyzed to determine the extent of uniqueness of the PUF responses. Hamming distances for 128 bit responses are calculated and represented graphically. The uniqueness of the responses is calculated as 49.0625%. This work also involves an error correction process using bidirectional associative memories to correct the error bits occurring due to considerable changes in temperature and other environmental factors. The proposed method yields better results and also reduces the computational complexity compared to conventionally used codes like BCH codes. The proposed method drives the failure rates below 1 ppm.
机译:当今全球市场的激烈竞争使得值得信赖的认证成为实施有价值的设计的重要方面。特别是FPGA,不仅需要内置安全性,不仅可以防止逆向工程,还需要防止黑客和克隆。为了应对此类威胁,已经开发了防止IC盗版的方法,这需要对每个制造的芯片进行独特的签名密钥。物理上不可渗透的功能是能够为给定IC生成独特签名的电路。本文介绍了可信赖的FPGA认证的设计,利用其独特的架构。 PUFS在Xilinx Spartan XC2S100 FPGA上实现。分析芯片内和芯片互连以确定PUF响应的唯一性程度。计算和以图形方式计算128位响应的汉明距离。应答的唯一性计算为49.0625%。这项工作还涉及使用双向关联存储器的纠错过程来校正由于温度和其他环境因素的相当大的变化而发生的错误位。与传统使用的代码相比,所提出的方法产生更好的结果,并且还降低了与BCH代码等传统使用的代码相比的计算复杂性。所提出的方法驱动以下1ppm的故障率。

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