MIRACLE: MIcRo-ArChitectural Leakage Evaluation
In this paper, we describe an extensible experimental infrastructure for evaluating the micro-architectural leakage, based on power consumption, that stems from a physical device. Building on existing literature, we use it to systematically study 14 different devices, which span 4 different instruc...
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Ruhr-Universität Bochum
2021
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oai:doaj.org-article:1f852e29b3fb4094be3b5a0da3797f2e2021-11-19T14:36:12ZMIRACLE: MIcRo-ArChitectural Leakage Evaluation10.46586/tches.v2022.i1.175-2202569-2925https://doaj.org/article/1f852e29b3fb4094be3b5a0da3797f2e2021-11-01T00:00:00Zhttps://tches.iacr.org/index.php/TCHES/article/view/9294https://doaj.org/toc/2569-2925 In this paper, we describe an extensible experimental infrastructure for evaluating the micro-architectural leakage, based on power consumption, that stems from a physical device. Building on existing literature, we use it to systematically study 14 different devices, which span 4 different instruction set architectures and 4 different vendors. The study allows a characterisation of each device with respect to any leakage effects stemming from sources within the micro-architectural implementation. We use it, for example, to identify and document several novel leakage effects (e.g., due to speculative instruction execution), and scenarios where an assumption about leakage is non-portable between different yet compatible devices. Ours is the widest study of its kind we are aware of, and highlights a range of challenges with respect to 1) the design, implementation, and evaluation of, e.g., masking schemes, 2) construction of accurate leakage models, and 3) selection of suitable devices for experimental research. For example, in relation to 1), we cast further doubt on whether a given device upholds the assumptions required by a given masking scheme; in relation to 2), we conclude that (statistical or formal) device leakage models must include information about the micro-architecture being modelled; in relation to 3), we claim the near mono-culture of devices that dominates existing literature is insufficient to support general claims regarding leakage. This is particularly important in the context of the FIPS 140-3 standard for non-invasive side-channel evaluation. Ben MarshallDan PageJames WebbRuhr-Universität Bochumarticleside-channel attackmicro-architectural leakagedevice leakage modellingComputer engineering. Computer hardwareTK7885-7895Information technologyT58.5-58.64ENTransactions on Cryptographic Hardware and Embedded Systems, Vol 2022, Iss 1 (2021) |
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side-channel attack micro-architectural leakage device leakage modelling Computer engineering. Computer hardware TK7885-7895 Information technology T58.5-58.64 |
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side-channel attack micro-architectural leakage device leakage modelling Computer engineering. Computer hardware TK7885-7895 Information technology T58.5-58.64 Ben Marshall Dan Page James Webb MIRACLE: MIcRo-ArChitectural Leakage Evaluation |
description |
In this paper, we describe an extensible experimental infrastructure for evaluating the micro-architectural leakage, based on power consumption, that stems from a physical device. Building on existing literature, we use it to systematically study 14 different devices, which span 4 different instruction set architectures and 4 different vendors. The study allows a characterisation of each device with respect to any leakage effects stemming from sources within the micro-architectural implementation. We use it, for example, to identify and document several novel leakage effects (e.g., due to speculative instruction execution), and scenarios where an assumption about leakage is non-portable between different yet compatible devices.
Ours is the widest study of its kind we are aware of, and highlights a range of challenges with respect to 1) the design, implementation, and evaluation of, e.g., masking schemes, 2) construction of accurate leakage models, and 3) selection of suitable devices for experimental research. For example, in relation to 1), we cast further doubt on whether a given device upholds the assumptions required by a given masking scheme; in relation to 2), we conclude that (statistical or formal) device leakage models must include information about the micro-architecture being modelled; in relation to 3), we claim the near mono-culture of devices that dominates existing literature is insufficient to support general claims regarding leakage. This is particularly important in the context of the FIPS 140-3 standard for non-invasive side-channel evaluation.
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format |
article |
author |
Ben Marshall Dan Page James Webb |
author_facet |
Ben Marshall Dan Page James Webb |
author_sort |
Ben Marshall |
title |
MIRACLE: MIcRo-ArChitectural Leakage Evaluation |
title_short |
MIRACLE: MIcRo-ArChitectural Leakage Evaluation |
title_full |
MIRACLE: MIcRo-ArChitectural Leakage Evaluation |
title_fullStr |
MIRACLE: MIcRo-ArChitectural Leakage Evaluation |
title_full_unstemmed |
MIRACLE: MIcRo-ArChitectural Leakage Evaluation |
title_sort |
miracle: micro-architectural leakage evaluation |
publisher |
Ruhr-Universität Bochum |
publishDate |
2021 |
url |
https://doaj.org/article/1f852e29b3fb4094be3b5a0da3797f2e |
work_keys_str_mv |
AT benmarshall miraclemicroarchitecturalleakageevaluation AT danpage miraclemicroarchitecturalleakageevaluation AT jameswebb miraclemicroarchitecturalleakageevaluation |
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