A Ternary Fuzzy Extractor For Efficient Cryptographic Key Generation
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A Ternary Fuzzy Extractor For Efficient Cryptographic Key Generation
  1. A Ternary Fuzzy Extractor For Efficient Cryptographic Key Generation 2
  2. A Ternary Fuzzy Extractor For Efficient Cryptographic Key Generation 2

Abstract—The procedure for extracting a cryptographic key from noisy sources, such as biometrics and Physically Un- cloneable Functions (PUFs), is known as Fuzzy Extractor (FE). Although FE constructions deal with discrete sources, most noisy sources are continuous. 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.

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

The MIT License (MIT)

Copyright (c) 2015

A Ternary Fuzzy Extractor For Efficient Cryptographic Key Generation 2

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the 'Software'), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED 'AS IS', WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

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A Ternary Fuzzy Extractor For Efficient Cryptographic Key Generation 2

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