Fortifying the NAND Flash Supply Chain with Innovative Security Primitives

The infiltration of counterfeit electronics into the global supply chain is a growing concern that poses significant challenges for both manufacturers and consumers. This paper introduces Flash-Odometer, an innovative technique designed to estimate the age and usage statistics of NAND flash memory blocks. Flash-Odometer works by analyzing key characteristics of NAND arrays, which are highly dependent on the defect density in the gate dielectric of the flash memory cells. Our experimental evaluation, conducted on state-of-the-art 3D NAND chips from a leading manufacturer, demonstrates that the Flash-Odometer accurately predicts the program-erase (PE) cycle count of NAND memory blocks. This provides a unique and reliable method for estimating chip usage, which is instrumental in detecting recycled memory chips.

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Publication Details

Published
2024-10-27
DOI
https://doi.org/10.1145/3676536.3689917
Primary Topic
Physical Unclonable Functions (PUFs) and Hardware Security
Type
article
Field-Weighted Citation Impact
0.00

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article

Fortifying the NAND Flash Supply Chain with Innovative Security Primitives

Matchima Buddhanoy, Biswajit Ray
Physical Unclonable Functions (PUFs) and Hardware Security
article

Fortifying the NAND Flash Supply Chain with Innovative Security Primitives

Matchima Buddhanoy, Biswajit Ray
article en

Abstract

The infiltration of counterfeit electronics into the global supply chain is a growing concern that poses significant challenges for both manufacturers and consumers. This paper introduces Flash-Odometer, an innovative technique designed to estimate the age and usage statistics of NAND flash memory blocks. Flash-Odometer works by analyzing key characteristics of NAND arrays, which are highly dependent on the defect density in the gate dielectric of the flash memory cells. Our experimental evaluation, conducted on state-of-the-art 3D NAND chips from a leading manufacturer, demonstrates that the Flash-Odometer accurately predicts the program-erase (PE) cycle count of NAND memory blocks. This provides a unique and reliable method for estimating chip usage, which is instrumental in detecting recycled memory chips.

Colorado State University (US)
National Science Foundation
Affordable and clean energy
Openalex Percentile: Top 67%
Physical Unclonable Functions (PUFs) and Hardware Security
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Fortifying the NAND Flash Supply Chain with Innovative Security Primitives — Matchima Buddhanoy, Biswajit Ray · (2024) | TGRS Research Map | TGRS