In Situ Time-Based Sensor for Process Identification Using Amplified Back-End-of-Line Resistance and Capacitance

This paper presents an in situ time-based sensor designed to provide process authentication. The proposed sensor leverages the inherent metal routing within the chip to measure the RC time-constants of interconnects. However, since the routing metal is typically designed to minimize resistance and capacitance, the resulting small RC time-constants pose a challenge for direct measurement. To overcome this challenge, a "three-configuration" measurement approach is introduced, incorporating two auxiliary components-poly resistor and metal-insulator-metal (MIM) capacitor-to generate three amplified RC time-constants and, subsequently, deduce the routing time-constant. Compared to directly measuring the routing time-constants, this approach reduces measurement error by over 82% while incurring only a 25% area penalty. A straightforward analytical model is presented, taking into account the impact of parasitic capacitances within the discharge path. This analytical model exhibits an excellent concurrence with simulated results, with a maximum difference of only 2.6% observed across all three configurations and a 3.2% variation in the derived routing time-constant. A set of five variants of the time-based sensor are realized using a 130 nm CMOS process. Each variant consists of 44 samples distributed across 11 dies on two wafers. To verify the precision of the proposed sensor, identical resistors and capacitors are fabricated alongside them, forming a direct measurement array (DMA) that is measured using external equipment. After adjusting the routing resistance and capacitance values in the simulations to correspond to the mean values obtained from the DMA measurements, the proposed sensor's measured results demonstrate a close alignment with simulations, exhibiting a maximum error of only 6.1%.

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Publication Details

Journal
Sensors
Published
2025-05-22
DOI
https://doi.org/10.3390/s25113255
Primary Topic
Physical Unclonable Functions (PUFs) and Hardware Security
Type
article
Field-Weighted Citation Impact
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article

In Situ Time-Based Sensor for Process Identification Using Amplified Back-End-of-Line Resistance and Capacitance

Vipul J. Patel, Jen-Chieh Hsueh, Waleed Khalil, Brian Dupaix et al.
Sensors
Physical Unclonable Functions (PUFs) and Hardware Security
article

In Situ Time-Based Sensor for Process Identification Using Amplified Back-End-of-Line Resistance and Capacitance

Vipul J. Patel, Jen-Chieh Hsueh, Waleed Khalil, Brian Dupaix, Jamin J. McCue, Dale Smith, Mike Kines, Yousri Ahmed Tantawy
article en

Abstract

This paper presents an in situ time-based sensor designed to provide process authentication. The proposed sensor leverages the inherent metal routing within the chip to measure the RC time-constants of interconnects. However, since the routing metal is typically designed to minimize resistance and capacitance, the resulting small RC time-constants pose a challenge for direct measurement. To overcome this challenge, a "three-configuration" measurement approach is introduced, incorporating two auxiliary components-poly resistor and metal-insulator-metal (MIM) capacitor-to generate three amplified RC time-constants and, subsequently, deduce the routing time-constant. Compared to directly measuring the routing time-constants, this approach reduces measurement error by over 82% while incurring only a 25% area penalty. A straightforward analytical model is presented, taking into account the impact of parasitic capacitances within the discharge path. This analytical model exhibits an excellent concurrence with simulated results, with a maximum difference of only 2.6% observed across all three configurations and a 3.2% variation in the derived routing time-constant. A set of five variants of the time-based sensor are realized using a 130 nm CMOS process. Each variant consists of 44 samples distributed across 11 dies on two wafers. To verify the precision of the proposed sensor, identical resistors and capacitors are fabricated alongside them, forming a direct measurement array (DMA) that is measured using external equipment. After adjusting the routing resistance and capacitance values in the simulations to correspond to the mean values obtained from the DMA measurements, the proposed sensor's measured results demonstrate a close alignment with simulations, exhibiting a maximum error of only 6.1%.

SensorsVol. 25(11)
United States Air Force Research Laboratory (US), Ansys (United States) (US), The Ohio State University (US)
Openalex Percentile: Top 90%
Physical Unclonable Functions (PUFs) and Hardware Security
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