Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/167780
Title: Selective staining on non-volatile memory cells for data retrieval
Authors: Zeng, Xiaomei
Liu, Qing
Tay, Jing Yun
Gan, Chee Lip
Keywords: Engineering::Materials
Issue Date: 2022
Source: Zeng, X., Liu, Q., Tay, J. Y. & Gan, C. L. (2022). Selective staining on non-volatile memory cells for data retrieval. IEEE Transactions On Information Forensics and Security, 17, 1884-1892. https://dx.doi.org/10.1109/TIFS.2022.3172222
Project: NRF2018NCR-NCR009- 0001 
Journal: IEEE Transactions on Information Forensics and Security 
Abstract: A new data retrieval approach utilizing selective staining is explored to differentiate '0' from '1' cells in EEPROM and Flash memory with node sizes of 40 nm and 250 nm. A two-step staining process based on selective oxide etching and copper galvanic displacement deposition is introduced. The underlying mechanism is attributed to the difference in electric field across the tunnel oxide, which originates from the presence or absence of charges stored in the floating gates. With proper sample preparation, the selectively stained and non-stained cells can be characterized with optical microscopy and scanning electron microscopy, to facilitate direct read-out of data in a time-efficient manner. The physical layout of individual memory cells with respect to the stored data is identified. A systematic data retrieval is achieved with an accuracy of 95% at individual bit level. This selective staining technique marks the data permanently on the chip that allows for subsequent analysis and evidence retention.
URI: https://hdl.handle.net/10356/167780
ISSN: 1556-6013
DOI: 10.1109/TIFS.2022.3172222
Schools: School of Materials Science and Engineering 
Research Centres: Temasek Laboratories @ NTU 
Rights: © 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: https://doi.org/10.1109/TIFS.2022.3172222.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:MSE Journal Articles
TL Journal Articles

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