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JCAlgTest: Robust identification metadata for certified smartcards

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F22%3A00127469" target="_blank" >RIV/00216224:14330/22:00127469 - isvavai.cz</a>

  • Result on the web

    <a href="https://crocs.fi.muni.cz/papers/jcalgtest_secrypt22" target="_blank" >https://crocs.fi.muni.cz/papers/jcalgtest_secrypt22</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    JCAlgTest: Robust identification metadata for certified smartcards

  • Original language description

    The certification of cryptographic smartcards under the Common Criteria or NIST FIPS140-2 is a well-established process, during which an evaluation facility validates the manufacturer's claims and issues a product certificate. The tested card is usually identified by its name, type, ATR, and Card Production Life Cycle (CPLC) data. While sufficient to pair the purchased card to its original certificate when bought from a trustworthy seller, such static metadata stored on the card can easily be manipulated. We extend the currently used card identification with a more descriptive set of metadata extracted from supported functionality, performance profiling, and properties of generated cryptographic keys. All of this information can be obtained directly by the evaluation facility, appended to the certificate, and later verified by the end-user with no need for any special knowledge or equipment, resulting in a better assurance about the purchased product. We developed a suite of open tools for the extraction of such characteristics and collected results for a set of more than 100 different smartcards. The database, openly available, demonstrates the significant variability in the measured properties and allows us to estimate the trends in support of different cryptographic algorithms as provided by the JavaCard platform.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10200 - Computer and information sciences

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)<br>S - Specificky vyzkum na vysokych skolach

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 19th International Conference on Security and Cryptography (SECRYPT 2022)

  • ISBN

    9789897585906

  • ISSN

    2184-7711

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

    597-604

  • Publisher name

    INSTICC

  • Place of publication

    Portugal

  • Event location

    Lisabon

  • Event date

    Jan 1, 2022

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000853004900065