Detailed Information on Publication Record
2022
JCAlgTest: Robust identification metadata for certified smartcards
ŠVENDA, Petr, Rudolf KVAŠŇOVSKÝ, Imrich NAGY and Antonín DUFKABasic information
Original name
JCAlgTest: Robust identification metadata for certified smartcards
Authors
ŠVENDA, Petr (203 Czech Republic, guarantor, belonging to the institution), Rudolf KVAŠŇOVSKÝ (703 Slovakia), Imrich NAGY (703 Slovakia) and Antonín DUFKA (203 Czech Republic)
Edition
Portugal, Proceedings of the 19th International Conference on Security and Cryptography (SECRYPT 2022), p. 597-604, 8 pp. 2022
Publisher
INSTICC
Other information
Language
English
Type of outcome
Stať ve sborníku
Field of Study
10200 1.2 Computer and information sciences
Country of publisher
Portugal
Confidentiality degree
není předmětem státního či obchodního tajemství
Publication form
electronic version available online
References:
RIV identification code
RIV/00216224:14330/22:00127469
Organization unit
Faculty of Informatics
ISBN
978-989-758-590-6
ISSN
UT WoS
000853004900065
Keywords in English
smartcards javacard performance cryptography
Tags
International impact, Reviewed
Změněno: 14/5/2024 12:46, RNDr. Pavel Šmerk, Ph.D.
Abstract
V originále
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.
Links
VJ02010010, research and development project |
|