Abstract
Physical Unclonable Functions (PUFs) are a resource for generating and sharing secret keys.
The mutual information between two respective observations of the same PUF gives an upper bound for the achievable secret-key rate of a secret-sharing scheme that relies on this PUF.
This mutual information can be increased by including side information about the source.
We show for a given statistical model of the SRAM-PUFs, how side information can be estimated from multiple observations of an SRAM cell. Finally, we calculate the achievable increased secret-key rate given the estimated side information.
The mutual information between two respective observations of the same PUF gives an upper bound for the achievable secret-key rate of a secret-sharing scheme that relies on this PUF.
This mutual information can be increased by including side information about the source.
We show for a given statistical model of the SRAM-PUFs, how side information can be estimated from multiple observations of an SRAM cell. Finally, we calculate the achievable increased secret-key rate given the estimated side information.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 2017 Symposium on Information Theory and Signal Processing in the Benelux, 11-12 May 2017, Delft, The Netherlands |
| Place of Publication | Delft |
| Publisher | Technische Universiteit Delft |
| Pages | 125-132 |
| Publication status | Published - 2017 |
| Event | Symposium on Information Theory and Signal Processing in the Benelux - Delft, Netherlands Duration: 11 May 2017 → 12 May 2017 |
Conference
| Conference | Symposium on Information Theory and Signal Processing in the Benelux |
|---|---|
| Abbreviated title | SITB2017 |
| Country | Netherlands |
| City | Delft |
| Period | 11/05/17 → 12/05/17 |
Fingerprint
Cite this
Kusters, C. J., Ignatenko, T., & Willems, F. M. J. (2017). Behavior of temperature dependent SRAM-PUFs, and consequences for secret-key capacity. In Proceedings of the 2017 Symposium on Information Theory and Signal Processing in the Benelux, 11-12 May 2017, Delft, The Netherlands (pp. 125-132). Delft: Technische Universiteit Delft.