Name
Abstract | ||
|---|---|---|
We introduce the multiple enrollment scheme for SRAM-physical unclonable functions (PUFs). During each enrollment, the binary power-on values of the SRAM are observed, and a corresponding key and helper data are generated. Each key can later be reconstructed from an additional observation and the helper data. The helper data do not reveal information about the keys to an attacker. It is our goal to use the additional enrollments to consecutively increase the entropy of the generated key material. We analyze two alternative settings. First, we present a regular setting, where each additional key is independent of all previous keys. Second, we introduce a key-replacement setting, where instead of an additional independent key, a new key (of increased length) is generated that replaces the old key. We characterize the capacity regions for both the settings. We show that the total achievable secret-key rate is equal to the mutual information between all enrollment observations and a single (reconstruction) observation. We derive our results based on a statistical model for the SRAM-PUF that has been proposed in the literature. This model implies a
<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">permutation symmetry</italic>
property of the SRAM-PUF which plays a key role in our proofs. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TIFS.2019.2895552 | IEEE Transactions on Information Forensics and Security |
Keywords | Field | DocType |
SRAM cells,Decoding,Random variables,Mutual information,Noise measurement,Biometrics (access control) | Pattern recognition,Computer science,Internet of Things,Permutation,Static random-access memory,Theoretical computer science,Mathematical proof,Statistical model,Mutual information,Artificial intelligence,Slepian–Wolf coding,Binary number | Journal |
Volume | Issue | ISSN |
14 | 9 | 1556-6013 |
Citations | PageRank | References |
1 | 0.36 | 0 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lieneke Kusters | 1 | 1 | 2.05 |
| F. M. J. Willems | 2 | 25 | 6.37 |