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An All-Digital Unified Physically Unclonable Function and True Random Number Generator Featuring Self-Calibrating Hierarchical Von Neumann Extraction in 14-nm Tri-gate CMOS

机译:全数字统一物理上不可克隆的功能和真正的随机数发生器,具有在14nm三栅CMOS中自校准分层冯·诺伊曼提取的功能

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This paper describes a unified static/dynamic entropy generator based on a 512-b common entropy source (ES) array fabricated in 14-nm tri-gate CMOS with reconfigurable and adaptive post-processing circuits implemented on Arria 10 FPGA, targeted for flexible and secure privacy preserving mutual authentication on compact trusted mote platforms at the edge of internet of things. Several conditioning techniques that include temporal majority voting (TMV)-assisted ES array segregation with integrated bias tracking, three-way in-line self-calibration for tolerance to process-voltage-temperature variation, tri-level hierarchical Von Neumann (VN) extraction to maximize entropy harvesting, soft-dark bit masking for improving physically unclonable function (PUF) stability, and selective stress hardening to co-optimize the ES array for static-dynamic entropy with bias aware device aging enable simultaneous PUF and true random number generator (TRNG) operation with 1.48 and 0.56 Gb/s throughput, respectively, measured at 650 mV, 70 degrees C. The all-digital design with a compact layout footprint of 2114 mu m(2) facilitates seamless integration in area constrained system-on-chips while achieving: 1) 25% area savings over conventional separate PUF and TRNG implementations; 2) cryptographic quality TRNG stream that passes all NIST randomness tests with 0.38 average p-value; 3) 1.6x higher extractor performance at 9x lower area with 750-gate hierarchical VN circuit over conventional light-weight entropy extractors; 4) 0.9996/0.99997 static/dynamic Shannon entropy indicating unbiased PUF/TRNG streams; 5) ultra-low energy consumption of 2.5 and 0.46 pJ/bit measured at 650 mV, 70 degrees C in TRNG and PUF modes; 6) 40% higher TRNG throughput with three-way self-calibration featuring coarse-grain column swap, fine-grain incremental ES substitution, and residual entropy recycling; 7) resistance to power injection attacks as measured by 64% higher performance over un-calibrated design in the presence 200-mV supply noise; 8) 2.8% PUF bit-error measured at 0.55-0.75 V, 25 degrees C-110 degrees C with 15-way TMV and soft dark-bit masking over a window of 100 cycles; 9) 14.8x inter and intra-PUF hamming distance separation; and 10) 56% reduction in discarded ES cells with selective stress hardening to opportunistically reinforceullify pre-existing bias in PUF/TRNG candidate cells. To our knowledge, this is the first reported unified PUF-TRNG implementation enabling simultaneous generation of high-entropy chip-ID and encryption keys in real time.
机译:本文介绍了一种基于512b共熵源(ES)阵列的统一静态/动态熵生成器,该阵列在14nm三栅极CMOS中制造,并具有在Arria 10 FPGA上实现的可重构和自适应后处理电路,旨在实现灵活性和可靠性。安全的隐私,在物联网边缘的紧凑型受信任远程平台上保持相互认证。几种调节技术,包括具有集成偏置跟踪的临时多数投票(TMV)辅助的ES阵列分离,对过程电压-温度变化的耐受性的三向在线自校准,三级分层冯·诺伊曼(VN)提取为了最大程度地提高熵收获,使用软暗位掩膜来改善物理不可克隆功能(PUF)的稳定性,并进行选择性应力强化以优化ES阵列以实现静态静态熵以及具有偏置感知的器件老化,从而实现同时PUF和真正的随机数生成器(在650 mV,70摄氏度下测得的吞吐量分别为1.48和0.56 Gb / s的TRNG)。全数字化设计,紧凑的占板面积2114μm(2),有助于在面积受限的系统上无缝集成芯片,同时实现:1)与传统的单独PUF和TRNG实施相比,节省了25%的面积; 2)通过所有NIST随机性测试且平均p值为0.38的加密质量TRNG流; 3)与传统的轻型熵提取器相比,采用750门分层VN电路时,提取器性能提高了1.6倍,面积减小了9倍; 4)0.9996 / 0.99997静态/动态香农熵,指示无偏PUF / TRNG流; 5)在TRNG和PUF模式下于650 mV,70摄氏度下测得的2.5和0.46 pJ / bit的超低能耗; 6)具有三级自校准功能的TRNG吞吐量提高了40%,具有粗粒色谱柱交换,细粒增量ES替代和残留熵回收的功能; 7)在存在200 mV电源噪声的情况下,抗功率注入攻击的性能比未经校准的设计高出64%; 8)在0.55-0.75 V,25摄氏度至110摄氏度,15路TMV和100个周期的窗口内进行软暗位屏蔽时测得的PUF误码率为2.8%; 9)14.8x PUF内部和内部PUF汉明距离间隔; (10)丢弃的ES细胞减少了56%,具有选择性的应力强化作用,以机会性地加强/消除了PUF / TRNG候选细胞中先前存在的偏见。据我们所知,这是第一个报告的统一PUF-TRNG实施,可同时实时生成高熵芯片ID和加密密钥。

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