PVAC: A Rowhammer Mitigation Architecture Exploiting Per-Victim-Row Counting
Jumin Kim, Seungmin Baek, Hwayong Nam, Minbok Wi, Nam Sung Kim, Jung Ho Ahn
Abstract
As DRAM scaling exacerbates RowHammer, DDR5 introduces per-row activation counting (PRAC) to track aggressor activity. However, PRAC indiscriminately increments counters on every activation-including benign refreshes-while relying solely on explicit RFM operations for resets. Consequently, counters saturate even in an idle bank, triggering cascading mitigations and degrading performance. This vulnerability arises from a fundamental mismatch: PRAC tracks the aggressor but aims to protect the victim. We present Per-Victim-row hAmmered Counting (PVAC), a victim-based counting mechanism that aligns the counter semantics with the physical disturbance mechanism of RowHammer. PVAC increments the counters of victim rows, resets the activated row, and naturally bounds counter values under normal refresh. To enable efficient victim-based updates, PVAC employs a dedicated counter subarray (CSA) that performs all counter resets and increments concurrently with normal accesses, without timing overhead. We further devise an energy-efficient CSA layout that minimizes refresh-induced counter accesses. Through victim-based counting, PVAC supports higher hammering tolerance than PRAC while maintaining the same worst-case safety guarantee. Across benign workloads and adversarial attack patterns, PVAC avoids spurious Alerts, eliminates PRAC timing penalties, and achieves higher performance and lower energy consumption than prior PRAC-based defenses.
Ask about this paper
Your agent reads all of it.
Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.
Your agent calls
Luneget_paper_fulltext
Free to start. No credit card required.
Terminal
Install the CLIlune papers fulltext 7ca9e665-58bd-4b2a-81f4-271d8544b944Cited by top-tier papers1
Ask how each one uses itBuilds on57
- Drammer: Deterministic Rowhammer Attacks on Mobile PlatformsVictor van der Veen, Yanick Fratantonio, Martina Lindorfer, Daniel Gruss et al.CCS 2016 · 381 citations
- Another Flip in the Wall of Rowhammer DefensesDaniel Gruss, Moritz Lipp, Michael Schwarz, Daniel Genkin et al.S&P 2018 · 288 citations
- TRRespass: Exploiting the Many Sides of Target Row RefreshPietro Frigo, Emanuele Vannacci, Hasan Hassan, Victor van der Veen et al.S&P 2020 · 274 citations
- One Bit Flips, One Cloud Flops: Cross-VM Row Hammer Attacks and Privilege EscalationYuan Xiao, Xiaokuan Zhang, Yinqian Zhang, Radu TeodorescuUSENIX Security 2016 · 272 citations
- Terminal Brain Damage: Exposing the Graceless Degradation in Deep Neural Networks Under Hardware Fault AttacksSanghyun Hong, Pietro Frigo, Yigitcan Kaya, Cristiano Giuffrida et al.USENIX Security 2019 · 255 citations
Related papers
- Chronus: Understanding and Securing the Cutting-Edge Industry Solutions to DRAM Read DisturbanceOguzhan Canpolat, A. Giray Yaglikçi, Geraldo F. Oliveira, Ataberk Olgun et al.HPCA 2025 · 23 citations
- QPRAC: Towards Secure and Practical PRAC-based Rowhammer Mitigation using Priority QueuesJeonghyun Woo, Shaopeng Chris Lin, Prashant J. Nair, Aamer Jaleel et al.HPCA 2025 · 20 citations
- Loaded Dice: Solving the Non-Selection Problem for Scalable Probabilistic RowHammer DefenseJeonghyun Woo, Junsu Kim, Aamer Jaleel, Prashant J. NairISCA 2026 · 1 citation
- When Mitigations Backfire: Timing Channel Attacks and Defense for PRAC-Based RowHammer MitigationsJeonghyun Woo, Joyce Qu, Gururaj Saileshwar, Prashant Jayaprakash NairISCA 2025 · 6 citations
- ABACuS: All-Bank Activation Counters for Scalable and Low Overhead RowHammer MitigationAtaberk Olgun, Yahya Can Tugrul, Nisa Bostanci, Ismail Emir Yuksel et al.USENIX Security 2024 · 29 citations
