Automated Generation of Masked Hardware

Masking has been recognized as a sound and secure countermeasure for cryptographic implementations, protecting against physical side-channel attacks. Even though many different masking schemes have been presented over time, design and implementation of protected cryptographic Integrated Circuits (I...

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Autores principales:	David Knichel, Amir Moradi, Nicolai Müller, Pascal Sasdrich
Formato:	article
Lenguaje:	EN
Publicado:	Ruhr-Universität Bochum 2021
Materias:	Side-Channel Analysis Masking Hardware Composable Gadget Computer engineering. Computer hardware TK7885-7895 Information technology T58.5-58.64
Acceso en línea:	https://doaj.org/article/b229173ac2bd4128a482609c7ed91586
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spelling	oai:doaj.org-article:b229173ac2bd4128a482609c7ed915862021-11-19T14:36:06ZAutomated Generation of Masked Hardware10.46586/tches.v2022.i1.589-6292569-2925https://doaj.org/article/b229173ac2bd4128a482609c7ed915862021-11-01T00:00:00Zhttps://tches.iacr.org/index.php/TCHES/article/view/9308https://doaj.org/toc/2569-2925 Masking has been recognized as a sound and secure countermeasure for cryptographic implementations, protecting against physical side-channel attacks. Even though many different masking schemes have been presented over time, design and implementation of protected cryptographic Integrated Circuits (ICs) remains a challenging task. More specifically, correct and efficient implementation usually requires manual interactions accompanied by longstanding experience in hardware design and physical security. To this end, design and implementation of masked hardware often proves to be an error-prone task for engineers and practitioners. As a result, our novel tool for automated generation of masked hardware (AGEMA) allows even inexperienced engineers and hardware designers to create secure and efficient masked cryptograhic circuits originating from an unprotected design. More precisely, exploiting the concepts of Probe-Isolating Non-Interference (PINI) for secure composition of masked circuits, our tool provides various processing techniques to transform an unprotected design into a secure one, eventually accelerating and safeguarding the process of masking cryptographic hardware. Ultimately, we evaluate our tool in several case studies, emphasizing different trade-offs for the transformation techniques with respect to common performance metrics, such as latency, area, and randomness. David KnichelAmir MoradiNicolai MüllerPascal SasdrichRuhr-Universität BochumarticleSide-Channel AnalysisMaskingHardwareComposable GadgetComputer engineering. Computer hardwareTK7885-7895Information technologyT58.5-58.64ENTransactions on Cryptographic Hardware and Embedded Systems, Vol 2022, Iss 1 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Side-Channel Analysis Masking Hardware Composable Gadget Computer engineering. Computer hardware TK7885-7895 Information technology T58.5-58.64
spellingShingle	Side-Channel Analysis Masking Hardware Composable Gadget Computer engineering. Computer hardware TK7885-7895 Information technology T58.5-58.64 David Knichel Amir Moradi Nicolai Müller Pascal Sasdrich Automated Generation of Masked Hardware
description	Masking has been recognized as a sound and secure countermeasure for cryptographic implementations, protecting against physical side-channel attacks. Even though many different masking schemes have been presented over time, design and implementation of protected cryptographic Integrated Circuits (ICs) remains a challenging task. More specifically, correct and efficient implementation usually requires manual interactions accompanied by longstanding experience in hardware design and physical security. To this end, design and implementation of masked hardware often proves to be an error-prone task for engineers and practitioners. As a result, our novel tool for automated generation of masked hardware (AGEMA) allows even inexperienced engineers and hardware designers to create secure and efficient masked cryptograhic circuits originating from an unprotected design. More precisely, exploiting the concepts of Probe-Isolating Non-Interference (PINI) for secure composition of masked circuits, our tool provides various processing techniques to transform an unprotected design into a secure one, eventually accelerating and safeguarding the process of masking cryptographic hardware. Ultimately, we evaluate our tool in several case studies, emphasizing different trade-offs for the transformation techniques with respect to common performance metrics, such as latency, area, and randomness.
format	article
author	David Knichel Amir Moradi Nicolai Müller Pascal Sasdrich
author_facet	David Knichel Amir Moradi Nicolai Müller Pascal Sasdrich
author_sort	David Knichel
title	Automated Generation of Masked Hardware
title_short	Automated Generation of Masked Hardware
title_full	Automated Generation of Masked Hardware
title_fullStr	Automated Generation of Masked Hardware
title_full_unstemmed	Automated Generation of Masked Hardware
title_sort	automated generation of masked hardware
publisher	Ruhr-Universität Bochum
publishDate	2021
url	https://doaj.org/article/b229173ac2bd4128a482609c7ed91586
work_keys_str_mv	AT davidknichel automatedgenerationofmaskedhardware AT amirmoradi automatedgenerationofmaskedhardware AT nicolaimuller automatedgenerationofmaskedhardware AT pascalsasdrich automatedgenerationofmaskedhardware
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Automated Generation of Masked Hardware

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