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

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

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish (US)
Pages (from-to)337-340
Number of pages4
JournalIEEE Embedded Systems Letters
Volume16
Issue number4
DOIs
StatePublished - 2024

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • General Computer Science

Keywords

  • DRAM
  • memory security
  • RowHammer

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