Abstract
Power analysis attacks have become a major threat to security systems by enabling secret data extraction through the analysis of the current consumed by the supply voltage. Embedded memories, implemented with 6T SRAM cells serve as key components of many security systems. However, the leakage current consumption of 6T SRAM cells is correlated with their stored data, resulting in susceptibility to leakage power analysis attacks. In this paper, we propose exploiting the body bias capabilities of FD-SOI technology to reduce the correlation between the consumed current and data stored in the memory by modifying the body voltage during runtime. Simulation results in 28nm FD-SOI technology demonstrate a significant reduction in the information leakage of a body-biased six-transistor (6T) static random access memory (SRAM) without additional area overhead.
Original language | English |
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Title of host publication | 2018 IEEE SOI-3D-Subthreshold Microelectronics Technology Unified Conference, S3S 2018 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9781538676264 |
DOIs | |
State | Published - 2 Jul 2018 |
Event | 2018 IEEE SOI-3D-Subthreshold Microelectronics Technology Unified Conference, S3S 2018 - Burlingame, United States Duration: 15 Oct 2018 → 18 Oct 2018 |
Publication series
Name | 2018 IEEE SOI-3D-Subthreshold Microelectronics Technology Unified Conference, S3S 2018 |
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Conference
Conference | 2018 IEEE SOI-3D-Subthreshold Microelectronics Technology Unified Conference, S3S 2018 |
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Country/Territory | United States |
City | Burlingame |
Period | 15/10/18 → 18/10/18 |
Bibliographical note
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