1. Analysis and Protection of the Two-Metric Helper Data Scheme
- Author
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Michael Pehl, Lars Tebelmann, Ulrich Kühne, Jean-Luc Danger, Technical University of Munich (TUM), Institut Polytechnique de Paris (IP Paris), Département Communications & Electronique (COMELEC), Télécom ParisTech, Secure and Safe Hardware (SSH), Laboratoire Traitement et Communication de l'Information (LTCI), Institut Mines-Télécom [Paris] (IMT)-Télécom Paris-Institut Mines-Télécom [Paris] (IMT)-Télécom Paris, and Technische Universität Munchen - Université Technique de Munich [Munich, Allemagne] (TUM)
- Subjects
Scheme (programming language) ,[INFO.INFO-AR]Computer Science [cs]/Hardware Architecture [cs.AR] ,LFSR-based Protection ,Computer science ,Permutation ,Reliability (computer networking) ,Physical unclonable function ,02 engineering and technology ,01 natural sciences ,Low complexity ,Two-metric Helper Data ,Countermeasures ,[INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR] ,0103 physical sciences ,0202 electrical engineering, electronic engineering, information engineering ,[INFO]Computer Science [cs] ,PUF ,computer.programming_language ,010302 applied physics ,Auditory masking ,Side-Channel Analysis ,[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation ,020202 computer hardware & architecture ,ComputingMilieux_MANAGEMENTOFCOMPUTINGANDINFORMATIONSYSTEMS ,Metric (mathematics) ,[INFO.INFO-ES]Computer Science [cs]/Embedded Systems ,computer ,Algorithm - Abstract
International audience; To compensate for the poor reliability of Physical Unclonable Function (PUF) primitives, some low complexity solutions not requiring error-correcting codes (ECC) have been proposed. One simple method is to discard less reliable bits, which are indicated in the helper data stored inside the PUF. To avoid discarding bits, the Two-metric Helper Data (TMH) method, which particularly applies to oscillation-based PUFs, allows to keep all bits by using different metrics when deriving the PUF response. However, oscillation-based PUFs are sensitive to side-channel analysis (SCA) since the frequencies of the oscillations can be observed by current or electromagnetic measurements. This paper studies the security of PUFs using TMH in order to obtain both reliable and robust PUF responses. We show that PUFs using TMH are sensitive to SCA, but can be greatly improved by using temporal masking and adapted extraction metrics. In case of public helper data, an efficient protection requires the randomization of the measurement order. We study two different solutions, providing interesting insights into trade-offs between security and complexity.
- Published
- 2021
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