Abstract
This Paper presents a novel method to increase the complexity of configurable ring oscillator PUFs on Xilinx 7 series FPGAs by taking advantage of mutual coupling between two ring oscillators. The primary motivation behind this is to improve machine learning resistance of PUFs while maintaining a lightweight architecture. By using this method it was possible to achieve a non linear relationship between the challenge and response giving this lightweight PUF excellent machine learning resistance with a max prediction rate of 55% with 2.9 Million CRPs. This out preforms other designs of this size. The proposed design also achieved an uniqueness of 0.456 over 100 devices and a total error rate of 3.027% over 20 devices with 85% of the CPRs being fully reliable.
| Original language | English |
|---|---|
| Title of host publication | Asian Hardware Oriented Security and Trust Symposium (AsianHOST 2024): Proceedings |
| Place of Publication | Kobe, Japan |
| Publisher | IEEE Xplore |
| Number of pages | 6 |
| ISBN (Electronic) | 9798350368062 |
| ISBN (Print) | 9798350368079 |
| DOIs | |
| Publication status | Published - 16 Jan 2025 |
| Event | IEEE Asian Hardware Oriented Security and Trust Symposium (AsianHOST) - Kobe, Japan Duration: 16 Dec 2024 → 18 Dec 2024 |
Conference
| Conference | IEEE Asian Hardware Oriented Security and Trust Symposium (AsianHOST) |
|---|---|
| Country/Territory | Japan |
| City | Kobe |
| Period | 16/12/2024 → 18/12/2024 |
Keywords
- ring oscillators
- resistance
- error analysis
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