LEAP: LLW RowHammer Mitigation System

Adopting LLW DRAM in modern mobile systems has increased vulnerability to RowHammer attacks due to shorter row cycle times. This paper introduces LLW Line Encrypted Aggressor Pinning (LEAP), a high-security, high-performance, low-power in-DRAM RowHammer mitigation scheme for LLW DRAM systems. It features line-level address encryption and data pinning, aligning with LLW's characteristics, and enhances performance by 2.4% while reducing power consumption by 6.8% compared to traditional victim refresh methods.

Authors

Institutions

Publication Details

Published
2024-08-19
DOI
https://doi.org/10.1109/isocc62682.2024.10762688
Primary Topic
Advanced Malware Detection Techniques
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

LEAP: LLW RowHammer Mitigation System

Yesin Ryu, Jung Rae Kim, Yoojin Kim
Advanced Malware Detection Techniques
article

LEAP: LLW RowHammer Mitigation System

Yesin Ryu, Jung Rae Kim, Yoojin Kim
article en

Abstract

Adopting LLW DRAM in modern mobile systems has increased vulnerability to RowHammer attacks due to shorter row cycle times. This paper introduces LLW Line Encrypted Aggressor Pinning (LEAP), a high-security, high-performance, low-power in-DRAM RowHammer mitigation scheme for LLW DRAM systems. It features line-level address encryption and data pinning, aligning with LLW's characteristics, and enhances performance by 2.4% while reducing power consumption by 6.8% compared to traditional victim refresh methods.

Sungkyunkwan University (KR)
Technology Development
Climate action
Openalex Percentile: Top 76%
Advanced Malware Detection Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.