(2017) Cryptographic key generation from multimodal template using fuzzy extractor. 2017 Tenth International Conference on Contemporary Computing (IC3), 1-6. (2017) Securing Wireless Communications of the Internet of Things from the Physical Layer, An Overview. Cryptographic Key Generation from PUF Data Using Efficient Fuzzy Extractors. Physical unclonable functions (PUFs) and biometrics are inherently noisy. When used in practice as cryptographic key generators, they need to be combined with an extraction technique to derive reliable bit strings (i.e., cryptographic key). Reusable Cryptographic Fuzzy Extractors Xavier Boyen Voltage Security, Palo Alto [email protected] An extended abstract of this paper appears in the proceedings of the 11th ACM Conference on Computer. While general purpose ternary computers have not succeeded in general use, heterogeneous computing systems with small ternary computing units dedicated to cryptographic functions have the potential to improve information assurance, and may also be designed to execute binary legacy codes. Here, we propose a secret key generation scheme using ternary ReRAM-based PUFs, to generate unique keys from noisy PUFs’ data by using less helper data compared to previously proposed schemes. A fuzzy extractor using a serial concatenation of BCH and polar codes is designed to generate the Secret Key and Helper Data.
- A Ternary Fuzzy Extractor For Efficient Cryptographic Key Generation 2
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Cryptographic Key Generation from Physically Unclonable Functions Data
The following code is implemented in MatLab.
The generation procedure takes the PUF Data1 as input and generates the Key1 and helper data(which is totally random).The reproduction procedure takes the PUF Data2 and helper data as input and generates Key2.If Key1=Key2 both of the PUF's have been generated from the same device.
The input is taken to be random for now, but you should add your own PUF inputs here.
For the full project with test data input and analysis using PUF's, and more explanation and detailed working e-mail me [email protected] .
REFERENCES
Y. Dodis, R. Ostrovsky, L. Reyzin and A. Smith, “Fuzzy Extractors:How to Generate Strong Keys from Biometrics and Other Noisy Data,”(A preliminary version of this paper appeared in Eurocrypt 2004) SIAMJ. Comput., 38(1), pp. 97–139, 2008.
Hyunho Kang, Yohei Hori, Toshihiro Katashita, Manabu Hagiwara, Keiichi Iwamura,'Cryptographic Key Generation from PUF Data Using Efficient Fuzzy Extractors',2014
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A Ternary Fuzzy Extractor For Efficient Cryptographic Key Generation Download
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