Ultra-fast data sanitization of SRAM by back-biasing to resist a cold boot attack

Autor: Seong-Joo Han, Joon-Kyu Han, Gyeong-Jun Yun, Mun-Woo Lee, Ji-Man Yu, Yang-Kyu Choi
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Scientific Reports, Vol 12, Iss 1, Pp 1-10 (2022)
Druh dokumentu: article
ISSN: 2045-2322
DOI: 10.1038/s41598-021-03994-2
Popis: Abstract Although SRAM is a well-established type of volatile memory, data remanence has been observed at low temperature even for a power-off state, and thus it is vulnerable to a physical cold boot attack. To address this, an ultra-fast data sanitization method within 5 ns is demonstrated with physics-based simulations for avoidance of the cold boot attack to SRAM. Back-bias, which can control device parameters of CMOS, such as threshold voltage and leakage current, was utilized for the ultra-fast data sanitization. It is applicable to temporary erasing with data recoverability against a low-level attack as well as permanent erasing with data irrecoverability against a high-level attack.
Databáze: Directory of Open Access Journals
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