Abstract
An SRAM Physical Unclonable Function (PUF) can distinguish SRAM modules by analyzing the inherent randomness of their start-up behavior. However, the effectiveness of this technique varies depending on the design and fabrication of the SRAM module. This study compares two similar microcontrollers, both equipped with on-chip SRAM, to determine which device produces a better SRAM PUF. Both microcontrollers are programmed with an identical SRAM PUF authentication routine and tested under varying ambient temperatures (ranging from 10 °C to 50 °C) to evaluate the impact of temperature on SRAM PUF performance. One embedded SRAM works significantly better than the other, even though the two models are closely related. The presented results can be used early in the design process to compare arbitrary on-chip SRAM models and see which is best suited for implementing an SRAM PUF.
| Original language | English |
|---|---|
| Title of host publication | International Conference on Electrical, Computer and Energy Technologies, ICECET 2023 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9798350327816 |
| DOIs | |
| Publication status | Published - 2023 |
| Event | 2023 IEEE International Conference on Electrical, Computer and Energy Technologies, ICECET 2023 - Cape Town, South Africa Duration: 16 Nov 2023 → 17 Nov 2023 |
Publication series
| Name | International Conference on Electrical, Computer and Energy Technologies, ICECET 2023 |
|---|
Conference
| Conference | 2023 IEEE International Conference on Electrical, Computer and Energy Technologies, ICECET 2023 |
|---|---|
| Country/Territory | South Africa |
| City | Cape Town |
| Period | 16.11.2023 → 17.11.2023 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- chip biometrics
- embedded systems
- fuzzy extractor
- hardware authentication
- SRAM PUF
- temperature
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