Abstract
This paper shows that performing an XOR operation between the outputs of parallel arbiter PUFs generates a more secure output at the expense of reduced stability. In this work, we evaluate the security and stability of XOR PUFs using 1,000,000 randomly chosen challenges, applied to 10 custom-designed PUF chips, tested for 100,000 cycles per challenge, under different voltage and temperature conditions. Based on extensive hardware data, we propose a practical method for selecting challenges that will produce stable responses. A linear regression approach based on soft responses collected during enrollment phase was used to build accurate models for each individual arbiter PUF. Hardware data from fabricated chips verify that the approach is highly effective.
Original language | English (US) |
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Title of host publication | Proceedings of the 54th Annual Design Automation Conference 2017, DAC 2017 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9781450349277 |
DOIs | |
State | Published - Jun 18 2017 |
Event | 54th Annual Design Automation Conference, DAC 2017 - Austin, United States Duration: Jun 18 2017 → Jun 22 2017 |
Publication series
Name | Proceedings - Design Automation Conference |
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Volume | Part 128280 |
ISSN (Print) | 0738-100X |
Other
Other | 54th Annual Design Automation Conference, DAC 2017 |
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Country/Territory | United States |
City | Austin |
Period | 6/18/17 → 6/22/17 |
Bibliographical note
Publisher Copyright:© 2017 ACM.
Keywords
- VDD and temperature variation
- XOR PUF
- challenge selection
- modeling attack
- response stability
- silicon data