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@inproceedings{2240069,
author = {Švenda, Petr and Kvašňovský, Rudolf and Nagy, Imrich and Dufka, Antonín},
address = {Portugal},
booktitle = {Proceedings of the 19th International Conference on Security and Cryptography (SECRYPT 2022)},
editor = {Sabrina De Capitani di Vimercati},
keywords = {smartcards javacard performance cryptography},
howpublished = {elektronická verze "online"},
language = {eng},
location = {Portugal},
isbn = {978-989-758-590-6},
pages = {597-604},
publisher = {INSTICC},
title = {JCAlgTest: Robust identification metadata for certified smartcards},
url = {https://crocs.fi.muni.cz/papers/jcalgtest_secrypt22},
year = {2022}
}
TY - JOUR
ID - 2240069
AU - Švenda, Petr - Kvašňovský, Rudolf - Nagy, Imrich - Dufka, Antonín
PY - 2022
TI - JCAlgTest: Robust identification metadata for certified smartcards
PB - INSTICC
CY - Portugal
SN - 9789897585906
KW - smartcards javacard performance cryptography
UR - https://crocs.fi.muni.cz/papers/jcalgtest_secrypt22
N2 - 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.
ER -
ŠVENDA, Petr, Rudolf KVAŠŇOVSKÝ, Imrich NAGY a Antonín DUFKA. JCAlgTest: Robust identification metadata for certified smartcards. Online. In Sabrina De Capitani di Vimercati. \textit{Proceedings of the 19th International Conference on Security and Cryptography (SECRYPT 2022)}. Portugal: INSTICC, 2022, s.~597-604. ISBN~978-989-758-590-6.
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