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An Optimality Summary: Secret Key Agreement with Physical Unclonable Functions
1Information Theory and Applications Chair, Technische Universität Berlin, 10623 Berlin, Germany.
Entropy (Basel, Switzerland)
|December 30, 2020
Summary
This study explores optimal physical unclonable function (PUF) constructions for digital device security. It details trade-offs for privacy, secret keys, and storage, using advanced coding techniques for enhanced local security.
Area of Science:
- Information Theory
- Coding Theory
- Signal Processing
- Cybersecurity
Background:
- Digital devices and biometrics face security and privacy challenges.
- Physical Unclonable Functions (PUFs) offer local security solutions.
- Existing PUF research requires accessible summaries for information and coding theorists.
Purpose of the Study:
- To provide an information-theoretic perspective on optimal PUF constructions.
- To analyze trade-offs between privacy leakage, secret key rates, and storage rates.
- To identify open problems and stimulate research in local privacy and security.
Main Methods:
- Application of low-complexity signal processing for information-theoretic analysis.
- Joint design of vector quantizer and error-correction code parameters.
- Review of modern and algebraic codes (e.g., polar, convolutional codes).
Main Results:
- Optimal PUF constructions achieving high security and privacy.
- Demonstration of achievable trade-offs between privacy leakage, secret key, and storage rates.
- Identification of codes (polar, convolutional) suitable for short block lengths and few PUF circuits.
Conclusions:
- Optimal PUF constructions can be achieved through joint design of coding and signal processing parameters.
- Modern and algebraic codes offer efficient solutions for PUF security.
- Further research is needed on PUF security from multiple disciplinary perspectives.
Keywords:
code constructions for securityinformation theoretic privacyphysical unclonable functions (PUFs)private authenticationsecret key generationMore Related Videos
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