ImPress: Securing DRAM Against Data-Disturbance Errors via Implicit Row-Press Mitigation
Anish Saxena, Aamer Jaleel, Moinuddin Qureshi
摘要
DRAM cells are susceptible to Data-Disturbance Errors (DDE), which can be exploited by an attacker to compromise system security. Rowhammer is a well-known DDE vulnerability that occurs when a row is repeatedly activated. Rowhammer can be mitigated by tracking aggressor rows inside DRAM (in-DRAM) or at the Memory Controller (MC). Row-Press (RP) is a new DDE vulnerability that occurs when a row is kept open for a long time. RP significantly reduces the number of activations required to induce an error, thus breaking existing RH solutions. Prior work on Explicit Row-Press mitigation, ExPress, requires the memory controller to limit the maximum row-open-time, and redesign existing Rowhammer solutions with reduced Rowhammer threshold. Unfortunately, ExPress incurs significant performance and storage overheads, and being a memory controller-based solution, it is incompatible with in-DRAM trackers. In this paper, we propose Implicit Row-Press mitigation (in-Press), which does not restrict row-open-time, is compatible with memory controller-based and in-DRAM solutions and does not reduce the tolerated Rowhammer threshold. In-Press treats a row open for a specified time as equivalent to an activation. We design in-Press by developing a Unified Charge-Loss Model, which combines the net effect of both Rowhammer and Row-Press for arbitrary patterns. We analyze both controller-based (Graphene and PARA) and in-DRAM trackers (Mithril and MINT). We show that in-Press makes Rowhammer solutions resilient to Row-Press transparently without affecting the Rowhammer threshold.
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引用它的顶会 Paper11
- MINT: Securely Mitigating Rowhammer with a Minimalist in-DRAM TrackerMoinuddin Qureshi, Salman Qazi, Aamer JaleelMICRO 2024 · 被引用 28 次
- AutoRFM: Scaling Low-Cost in-DRAM Trackers to Ultra-Low Rowhammer ThresholdsMoinuddin QureshiHPCA 2025 · 被引用 15 次
- MoPAC: Efficiently Mitigating Rowhammer with Probabilistic Activation CountingSuhas Vittal, Salman Qazi, Poulami Das, Moinuddin QureshiISCA 2025 · 被引用 13 次
- DAPPER: A Performance-Attack-Resilient Tracker for RowHammer DefenseJeonghyun Woo, Prashant J. NairHPCA 2025 · 被引用 10 次
- Understanding RowHammer Under Reduced Refresh Latency: Experimental Analysis of Real DRAM Chips and Implications on Future SolutionsYahya Can Tugrul, A. Giray Yaglikçi, Ismail Emir Yüksel, Ataberk Olgun 等HPCA 2025 · 被引用 10 次
它引用的顶会 Paper25
- Drammer: Deterministic Rowhammer Attacks on Mobile PlatformsVictor van der Veen, Yanick Fratantonio, Martina Lindorfer, Daniel Gruss 等CCS 2016 · 被引用 381 次
- Flip Feng Shui: Hammering a Needle in the Software StackKaveh Razavi, Ben Gras, Erik Bosman, Bart Preneel 等USENIX Security 2016 · 被引用 306 次
- Another Flip in the Wall of Rowhammer DefensesDaniel Gruss, Moritz Lipp, Michael Schwarz, Daniel Genkin 等S&P 2018 · 被引用 288 次
- TRRespass: Exploiting the Many Sides of Target Row RefreshPietro Frigo, Emanuele Vannacci, Hasan Hassan, Victor van der Veen 等S&P 2020 · 被引用 274 次
- RAMBleed: Reading Bits in Memory Without Accessing ThemAndrew Kwong, Daniel Genkin, Daniel Gruss, Yuval YaromS&P 2020 · 被引用 239 次
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