{"ID":6536480,"CreatedAt":"2026-07-14T01:21:01.169441415Z","UpdatedAt":"2026-07-14T16:42:43.195211275Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2607.10392","arxiv_id":"2607.10392","title":"Dynamic Rowhammer Threshold Management:Temperature-Aware Threshold Degradation for In-DRAM Defenses","abstract":"In-DRAM Rowhammer defenses pin the mitigation threshold at manufacture time, yet the true Rowhammer Threshold (TRHD) varies with runtime temperature. We propose \\emph{Dynamic Rowhammer Threshold Management}, a defense-agnostic runtime layer that re-sources each defense's threshold from the observed temperature once per epoch via a linear-$T$ model with a VRD-motivated guardband $g$, projecting the result onto SALT-C, PRAC, and TRR through each defense's threshold parameter. A decoupled oracle that scales physical TRHD per-DIMM by $δ\\sim \\mathrm{N}(1, σ)$ breaks model self-consistency. The layer drives PRAC's 72 staleness breaches at 85$^\\circ$C to zero; at $σ{=}0.10$, sweeping $g$ collapses PRAC breaches from 38.4 ($g{=}1.0$) to 9.6 ($g{=}0.9$). SALT-C drops from 10 nominal-static breaches to 2 (Dynamic) to 0 (bootstrap), at $\\leq$5.1\\% latency. TRR is capacity-limited; the layer acts as a diagnostic.","short_abstract":"In-DRAM Rowhammer defenses pin the mitigation threshold at manufacture time, yet the true Rowhammer Threshold (TRHD) varies with runtime temperature. We propose \\emph{Dynamic Rowhammer Threshold Management}, a defense-agnostic runtime layer that re-sources each defense's threshold from the observed temperature once per...","url_abs":"https://arxiv.org/abs/2607.10392","url_pdf":"https://arxiv.org/pdf/2607.10392v1","authors":"[\"Aziz Alajmi\",\"Hoeseok Yang\"]","published":"2026-07-11T16:44:33Z","proceeding":"cs.AR","tasks":"[\"cs.AR\",\"cs.CR\"]","methods":"[]","has_code":false}