Page-Overwrite Data Sanitization in 3D NAND Flash: Challenges, Feasibility, and the PULSE Solution
Year: 2025
Type: article
Abstract: Instant data deletion (or sanitization) in NAND flash devices is essential for achieving data privacy, but it remains challenging due to the mismatch between erase and write granularities, which leads to high overhead and accelerated wear. While page-overwrite-based instant data sanitization has proven effective for 2D NAND, its applicability to 3D NAND is limited due to the unique sub-block architecture. In this study, we experimentally evaluate page-overwrite-based sanitization on commercial 3D NAND flash memory chips and uncover significant threshold voltage disturbances in erased cells on adjacent pages within the same layer but across different sub-blocks. Our key findings reveal that page-overwrite sanitization increases the median raw bit error rate (RBER) beyond correction limits (exceeding 0.93%) in Floating-Gate (FG) Single-Level Cell (SLC) technology, whereas Charge-Trap (CT) SLC 3D NAND flash memories exhibit higher robustness. In Triple-Level Cell (TLC) 3D NAND, page-overwrite sanitization proves impractical, with the median RBER of ∼13% for FG and ∼5% for CT devices. To overcome these challenges, we propose PULSE , a low-disturbance sanitization technique that balances sanitization efficiency ( \({{\eta }_{san}}\) ) and data integrity (RBER). Experimental results show that PULSE eliminates RBER increases in SLC devices and reduces the median RBER to below 0.57% for FG and 0.79% for CT in fresh TLC blocks, demonstrating its practical viability for 3D NAND flash sanitization.
DOI: 10.1145/3761798
Language: English
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
Funder: National Science Foundation
Awards: CNS Core: Small: Ensuring Privacy by Runtime Analog Sanitization of Solid State Storage Devices, Collaborative Research: SaTC: CORE: Small: Exploring Security Risks Arising from SRAM Data Remanence and Evaluating Innovative Sanitization Techniques, EAGER: SaTC: Applying Adversarial Machine Learning Techniques to Recover Deleted Information from Flash Storage
OpenAlex ID: W4413792148
