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Limits: Security bound depends on timing and threshold assumptions; evaluation is simulation/workload based and must track JEDEC/device implementation details.</property:Applicability>
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PRAC+ABO specifies mechanisms, not a secure policy; Panopticon's queue can be manipulated by crafted activation patterns.

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Canonical title: MOAT: Securely Mitigating Rowhammer with Per-Row Activation Counters
Question: Can DDR5 per-row activation counting and ALERT back-off be implemented with provable RowHammer security and low overhead?
Context: PRAC+ABO specifies mechanisms, not a secure policy; Panopticon's queue can be manipulated by crafted activation patterns.
Method: MOAT uses an eligibility threshold for proactive mitigation, an ALERT threshold for ABO, highest-count row tracking, and safe counter reset around refresh.
Evaluation: workloads=SPEC CPU; GAP graph workloads; Jailbreak and performance attacks; baselines=Panopticon; PRAC+ABO configurations; metrics=maximum aggressor activations; safe TRH; slowdown; SRAM overhead; results=Panopticon reaches 1,150 activations at threshold 128; MOAT ATH=64 safe for TRH=99; 0.28% average slowdown; 7 bytes SRAM per bank
Interpretation: Accurate per-row counters are insufficient unless queue service, delayed alerts, and reset semantics are included in the security proof.
Reusable lesson: Prove the complete mitigation state machine against adversarial scheduling, including backpressure and counter reset.
Applicability: DDR5 PRAC/ABO RowHammer mitigation designs.
Limits: Security bound depends on timing and threshold assumptions; evaluation is simulation/workload based and must track JEDEC/device implementation details.</property:Evidence_note>
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Question: Can DDR5 per-row activation counting and ALERT back-off be implemented with provable RowHammer security and low overhead?
Context: PRAC+ABO specifies mechanisms, not a secure policy; Panopticon's queue can be manipulated by crafted activation patterns.
Method: MOAT uses an eligibility threshold for proactive mitigation, an ALERT threshold for ABO, highest-count row tracking, and safe counter reset around refresh.
Evaluation: workloads=SPEC CPU; GAP graph workloads; Jailbreak and performance attacks; baselines=Panopticon; PRAC+ABO configurations; metrics=maximum aggressor activations; safe TRH; slowdown; SRAM overhead; results=Panopticon reaches 1,150 activations at threshold 128; MOAT ATH=64 safe for TRH=99; 0.28% average slowdown; 7 bytes SRAM per bank
Interpretation: Accurate per-row counters are insufficient unless queue service, delayed alerts, and reset semantics are included in the security proof.
Reusable lesson: Prove the complete mitigation state machine against adversarial scheduling, including backpressure and counter reset.
Applicability: DDR5 PRAC/ABO RowHammer mitigation designs.
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