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
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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
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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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
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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