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Efficient algorithmic evaluation of correlation power analysis: Key distinguisher based on the correlation trace derivative

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21240%2F19%3A00332371" target="_blank" >RIV/68407700:21240/19:00332371 - isvavai.cz</a>

  • Result on the web

    <a href="http://hdl.handle.net/10467/86911" target="_blank" >http://hdl.handle.net/10467/86911</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.micpro.2019.102858" target="_blank" >10.1016/j.micpro.2019.102858</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Efficient algorithmic evaluation of correlation power analysis: Key distinguisher based on the correlation trace derivative

  • Original language description

    Correlation power analysis (CPA) is one of the most common side-channel attacks today, posing a threat to many modern ciphers, including AES. In the final step of this attack, the cipher key is usually extracted by the attacker by visually examining the correlation traces for each key guess. The naïve way to extract the correct key algorithmically is selecting the key guess with the maximum Pearson correlation coefficient. We propose another key distinguisher based on a significant change in the correlation trace rather than on the absolute value of the coefficient. Our approach performs better than the standard maximization, especially in the noisy environment, and it allows to significantly reduce the number of acquired power traces necessary to successfully mount an attack in noisy environment, and in some cases make the attack even feasible.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    20206 - Computer hardware and architecture

Result continuities

  • Project

    <a href="/en/project/GA16-05179S" target="_blank" >GA16-05179S: Fault-Tolerant and Attack-Resistant Architectures Based on Programmable Devices: Research of Interplay and Common Features</a><br>

  • Continuities

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

Others

  • Publication year

    2019

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Microprocessors and Microsystems

  • ISSN

    0141-9331

  • e-ISSN

    1872-9436

  • Volume of the periodical

    2019

  • Issue of the periodical within the volume

    71

  • Country of publishing house

    NL - THE KINGDOM OF THE NETHERLANDS

  • Number of pages

    8

  • Pages from-to

    1-8

  • UT code for WoS article

    000500052000034

  • EID of the result in the Scopus database

    2-s2.0-85070191187