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A fair experimental evaluation of distance correlation side-channel distinguisher

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21240%2F22%3A00358363" target="_blank" >RIV/68407700:21240/22:00358363 - isvavai.cz</a>

  • Result on the web

    <a href="http://hdl.handle.net/10467/105276" target="_blank" >http://hdl.handle.net/10467/105276</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/MECO55406.2022.9797142" target="_blank" >10.1109/MECO55406.2022.9797142</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    A fair experimental evaluation of distance correlation side-channel distinguisher

  • Original language description

    Side-channel attacks pose a severe threat to crypto graphic implementations, allowing the attacker to recover secret information based on physical observations of the cryptographic device. Correlation Power Analysis is considered to be one of the most powerful attacks in the non-profiled scenario. In this paper, we consider the distance/Brownian correlation instead of the traditionally used Pearson coefficient. We give a fair comparison of our novel approach attacking AES on three different FPGA platforms and we discuss the distance correlation potential in the context of side-channel analysis.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20206 - Computer hardware and architecture

Result continuities

  • Project

    <a href="/en/project/VJ02010010" target="_blank" >VJ02010010: Tools for AI-enhanced Security Verification of Cryptographic Devices</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2022

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of the 11th Mediterranean Conference on Embedded Computing (MECO 2022)

  • ISBN

    978-1-6654-6828-2

  • ISSN

    2377-5475

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

    110-113

  • Publisher name

    Institute of Electrical and Electronics Engineers, Inc.

  • Place of publication

  • Event location

    Budva

  • Event date

    Jun 7, 2022

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000855969800024