TENDRA: Targeted Endurance Attack on STT-RAM LLC

Spin transfer torque RAM (STT-RAM)-based last level cache (LLC) offers significant benefits like high density and low refresh energy, but faces challenges like high write latency and limited endurance. Malicious attacks in a multicore setup need access to only a single core to perform repeated attacks on specific memory locations that can lead to an accelerated lifetime degradation of the STT-RAM LLC cells. To highlight this vulnerability of STT-RAM LLC, we propose two variations of TENDRA (targeted endurance attack), namely, recurring location attack (RLA) and recurring toggle attack (RTA). Our work highlights the efficiency of these attacks on modern counter-based wear leveling techniques and also the effect of wear leveling on these attacks.

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Publication Details

Journal
IEEE Embedded Systems Letters
Published
2024-11-19
DOI
https://doi.org/10.1109/les.2024.3502297
Citations
2
Primary Topic
Security and Verification in Computing
Type
article
Field-Weighted Citation Impact
0.69

Funders

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article

TENDRA: Targeted Endurance Attack on STT-RAM LLC

Venkata Kalyan Tavva, Shirshendu Das, Prabuddha Sinha, Mangena Likhit Sai
2 citations
IEEE Embedded Systems Letters
Security and Verification in Computing
0.69
article

TENDRA: Targeted Endurance Attack on STT-RAM LLC

Venkata Kalyan Tavva, Shirshendu Das, Prabuddha Sinha, Mangena Likhit Sai
article en
2 citations

Abstract

Spin transfer torque RAM (STT-RAM)-based last level cache (LLC) offers significant benefits like high density and low refresh energy, but faces challenges like high write latency and limited endurance. Malicious attacks in a multicore setup need access to only a single core to perform repeated attacks on specific memory locations that can lead to an accelerated lifetime degradation of the STT-RAM LLC cells. To highlight this vulnerability of STT-RAM LLC, we propose two variations of TENDRA (targeted endurance attack), namely, recurring location attack (RLA) and recurring toggle attack (RTA). Our work highlights the efficiency of these attacks on modern counter-based wear leveling techniques and also the effect of wear leveling on these attacks.

IEEE Embedded Systems LettersVol. 17(3)
Indian Institute of Technology Ropar (IN), National Institute of Technology Andhra Pradesh (IN), Indian Institute of Technology Hyderabad (IN)
Qualcomm
Openalex Percentile: Top 23%
Security and Verification in Computing
0.69
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