A Novel Insight Into the Vulnerability of DDR4 DRAM Cells Across Multiple Hammering Settings

RowHammer stands out as a prominent example, potentially the pioneering one, showcasing how a failure mechanism at the circuit level can give rise to a significant and pervasive security vulnerability within systems. Prior research has approached RowHammer attacks within a static threat model framework. Nonetheless, it warrants consideration within a more nuanced and dynamic model. This letter presents a low-overhead DRAM RowHammer vulnerability profiling technique, which utilizes innovative test vectors for categorizing memory cells into distinct security levels. The proposed test vectors intentionally weaken the spatial correlation between the aggressors and victim rows before an attack for evaluation, thus aiding designers in mitigating RowHammer vulnerabilities in the mapping phase. While there has been no previous research showcasing the impact of such profiling to our knowledge, our study methodically assesses 128 commercial DDR4 DRAM products. The results uncover the significant variability among chips from different manufacturers in the type and quantity of RowHammer attacks that can be exploited by adversaries.

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Publication Details

Journal
IEEE Embedded Systems Letters
Published
2024-12-01
DOI
https://doi.org/10.1109/les.2024.3449232
Primary Topic
Physical Unclonable Functions (PUFs) and Hardware Security
Type
article
Field-Weighted Citation Impact
0.00

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article

A Novel Insight Into the Vulnerability of DDR4 DRAM Cells Across Multiple Hammering Settings

Adnan Siraj Rakin, Ranyang Zhou, Shaahin Angizi, Sabbir Ahmed et al.
IEEE Embedded Systems Letters
Physical Unclonable Functions (PUFs) and Hardware Security
article

A Novel Insight Into the Vulnerability of DDR4 DRAM Cells Across Multiple Hammering Settings

Adnan Siraj Rakin, Ranyang Zhou, Shaahin Angizi, Sabbir Ahmed, Nakul Kochar, Jacqueline Liu
article en

Abstract

RowHammer stands out as a prominent example, potentially the pioneering one, showcasing how a failure mechanism at the circuit level can give rise to a significant and pervasive security vulnerability within systems. Prior research has approached RowHammer attacks within a static threat model framework. Nonetheless, it warrants consideration within a more nuanced and dynamic model. This letter presents a low-overhead DRAM RowHammer vulnerability profiling technique, which utilizes innovative test vectors for categorizing memory cells into distinct security levels. The proposed test vectors intentionally weaken the spatial correlation between the aggressors and victim rows before an attack for evaluation, thus aiding designers in mitigating RowHammer vulnerabilities in the mapping phase. While there has been no previous research showcasing the impact of such profiling to our knowledge, our study methodically assesses 128 commercial DDR4 DRAM products. The results uncover the significant variability among chips from different manufacturers in the type and quantity of RowHammer attacks that can be exploited by adversaries.

IEEE Embedded Systems LettersVol. 16(4)
New Jersey Institute of Technology (US), Binghamton University (US)
National Science Foundation
Peace, Justice and strong institutions
Openalex Percentile: Top 76%
Physical Unclonable Functions (PUFs) and Hardware Security
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