Research Output

Pseudorandom number generation in smart cards: an Implementation, performance and randomness analysis.

  Smart cards rely on pseudorandom number generators to provide uniqueness and freshness in their cryptographic services i.e. encryption and digital signatures. Their implementations are kept proprietary by smart card manufacturers in order to remain competitive. In this paper we look at how these generators are implemented in general purpose computers. How architecture of such generators can be modified to suit the smart card environment. Six variations of this modified model were implemented in Java Card along with the analysis of their performance and randomness. To analyse the randomness of the implemented algorithms, the NIST statistical test suite is used. Finally, an overall analysis is provided, that is useful for smart card designers to make informed decisions when implementing pseudorandom number generators.

  • Date:

    30 November 2011

  • Publication Status:

    Published

  • Publisher

    IEEE Computer Society

  • DOI:

    10.1109/NTMS.2012.6208760

  • Library of Congress:

    QA75 Electronic computers. Computer science

  • Dewey Decimal Classification:

    004 Data processing & computer science

Citation

Akram, R. N., Markantonakis, K. & Mayes, K. (2011). Pseudorandom number generation in smart cards: an Implementation, performance and randomness analysis. In Mana, A. & Klonowski, M. (Eds.). 5th International Conference on New Technologies, Mobility and Security (NTMS), 1-7. doi:10.1109/NTMS.2012.6208760. ISBN 978-1-4673-0228-9

Authors

Keywords

Smart Cards; Pseudorandom Number Generators; NIST Statistical Test 800-22; Performance Measurements;

Available Documents