Techniques for Improved Reliability in Memristive Crossbar PUF Circuits

Uddin, Mesbah; Majumder, Md. Badruddoja; Rose, Garrett S.; Beckmann, Karsten; Manem, Harika; Alamgir, Zahiruddin; Cady, Nathaniel C.

doi:10.1109/isvlsi.2016.33

Cited by 25 publications

(11 citation statements)

References 15 publications

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“…( ) depends on physical properties of the device and is mainly affected by ion mobility, that is denoted by μ, of the material and the overall device thickness D. The change in memristance of a memristor during SET and RESET operation [17] is modelled as…”

Section: Figure 1 Hp Memristor Modelmentioning

confidence: 99%

“…To bring diversity in the analysis, the memristor devices with highly uncorrelated electrical and device characteristics, are selected for Xbar PUF simulation. The variability model of memristors 1 and 2 is simulated in MATLAB using six basic parameters that are normally considered, when analyzing memristive Xbar PUF architecture [17][18][19]. These parameters are resistive states (HRS and LRS), positive and negative switching voltages (…”

Section: Simulation Setupmentioning

confidence: 99%

“…The Ring Oscillator (RO) PUF [15,16] was avoided as its frequency is more sensitive to process variations. Later in [17] the Xbar PUF performance evaluation was done with slight improvement in the design using bipolar resistive switching of memristors and a 2-D crossbar array was proposed. The design was further improved in [18] by adding nonlinearities in the response by incorporating column swapping technique in the Xbar and processing the output through exclusive OR gate (XORing).…”

Section: Introductionmentioning

confidence: 99%

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Optimization of Memristive Crossbar Array for Physical Unclonable Function Applications

et al. 2021

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The memristive crossbar Physical Unclonable Function (PUF) structures are emerging as strong security primitives for resource-constrained devices demanding good retention time, negligible standby power, small size, and ultra-low power operating requirements. Memristive PUFs exploit the inherent high process variations of a memristor as a source of entropy to generate device-specific signatures. These PUFs need to be strong enough to deal with active and passive attacks as well as machine learning attacks. This requires more variability in the device characteristics. Memristive PUF requires dense crossbar architecture to generate unique, uniform, and reliable device signatures. Dense memristive crossbars (Xbar) face the challenge of low noise margin, proper load resistance selection, scalability, and a precise sense circuitry at the load resistance side to read the resistive states of a memristor accurately. In this work, we have simulated and optimized the load resistance of memristive scaled up crossbar arrays. We have used two of our fabricated devices for memristive crossbar PUF simulation. The proposed crossbar PUF architecture satisfies the basic PUF evaluation metrics and improves noise margin (NM). The load resistance is optimized through MATLAB simulation. The impact of optimized load resistance on Xbar architecture is observed to be noticeable and around 18% improvement in the noise margin was observed when the crossbar is scaled up from 16×2 to 128×2.

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Section: Figure 1 Hp Memristor Modelmentioning

confidence: 99%

Section: Simulation Setupmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Optimization of Memristive Crossbar Array for Physical Unclonable Function Applications

et al. 2021

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“…Furthermore, the memristor length is typically in the tens of nanometers, which is much smaller than most CMOS components and can reduce ROPUF circuit area. For these reasons, research efforts have been made to include the memristor into different types of PUFs to enhance its performance as a hardware security device [28][29][30][31][32][33][34].…”

Section: Memory Resistormentioning

confidence: 99%

“…The set of CRPs is considered as the unique property that distinguishes itself from other PUFs [1][2][3]. To date, there are a several PUF types being researched like the bistable ring PUF [8], the arbiter PUF [1][2][3], the SRAM PUF [9][10][11], crossbar array PUF [12][13][14][15], and the ring oscillator PUF (ROPUF) [5,[16][17][18][19], which is the type of PUF taken into discussion for this research.…”

Section: Introduction 1physically Unclonable Functionmentioning

confidence: 99%

Ring oscillator physically unclonable function using sequential ring oscillator pairs for more challenge-response-pairs

Teo¹,

Hashim²,

Ghazali³

et al. 2019

IJEECS

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<span>The ring oscillator physically unclonable function (ROPUF) is one of the several types of PUF that has great potential to be used for security purposes. An alternative ROPUF design is proposed with two major differences. Firstly, the memristor is included in the ring oscillators as it is claimed to produce a more random oscillation frequency. Other reasons are its memory-like properties and variable memristance, relative compatibility with CMOS, and small size. Secondly, a different method of generating the response is implemented whereby a sequence of selection of ring oscillator pairs are used to generate a multiple bit response, rather than using only one ring oscillator pair to generate a single bit response. This method significantly expands the set of challenge-response pairs. The proposed memristor-based ROPUF shows 48.57%, 51.43%, and 51.43% for uniqueness, uniformity, and bit-aliasing, respectively. Also, modelling by support vector machine (SVM) on the proposed memristor-based ROPUF only shows 61.95% accuracy, thereby indicating strong resistance against SVM.</span>

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Survey on the benefits of using memristors for PUFs

Aljafar¹,

Acken

2021

International Journal of Parallel, Emergent and Distributed Sys

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Techniques for Improved Reliability in Memristive Crossbar PUF Circuits

Cited by 25 publications

References 15 publications

Optimization of Memristive Crossbar Array for Physical Unclonable Function Applications

Optimization of Memristive Crossbar Array for Physical Unclonable Function Applications

Ring oscillator physically unclonable function using sequential ring oscillator pairs for more challenge-response-pairs

Survey on the benefits of using memristors for PUFs

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