Selected Blocks for Public-Key Cryptosystems in FPGAs: Analysis and Implementation of Montgomery Modular Multiplier and True Random Number Generator - Couverture souple

Šimka, Martin; Drutarovský, Miloš

 
9783847318453: Selected Blocks for Public-Key Cryptosystems in FPGAs: Analysis and Implementation of Montgomery Modular Multiplier and True Random Number Generator
Couverture souple
ISBN 10 : 3847318454 ISBN 13 : 9783847318453
Editeur : LAP LAMBERT Academic Publishing, 2012

Synopsis

Systems for public key cryptography are intensively applied in digital processes in order to sign or encrypt data and assure data integrity, confidentiality, and authentication and non-repudiation for a data signer. The complexity of computations has impact on performance of the systems, especially in case of high key lengths. In the book we analyse and implement two underlying building blocks for public-key cryptography systems: modular multiplier and random number generator. Choosing FPGA circuits as a target platform for the analysed elements allows reducing the development time and brings advantages in area of security. We show what impact on the system performance have the parameters of the processing blocks and algorithm improvements. The key generating element – a Random Number Generator (RNG) is analysed under several aspects and we provide results in the form of a stochastic model of the RNG and propose testing methods suitable for this type of RNGs.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

Systems for public key cryptography are intensively applied in digital processes in order to sign or encrypt data and assure data integrity, confidentiality, and authentication and non-repudiation for a data signer. The complexity of computations has impact on performance of the systems, especially in case of high key lengths. In the book we analyse and implement two underlying building blocks for public-key cryptography systems: modular multiplier and random number generator. Choosing FPGA circuits as a target platform for the analysed elements allows reducing the development time and brings advantages in area of security. We show what impact on the system performance have the parameters of the processing blocks and algorithm improvements. The key generating element – a Random Number Generator (RNG) is analysed under several aspects and we provide results in the form of a stochastic model of the RNG and propose testing methods suitable for this type of RNGs.

Biographie de l'auteur

Martin ŠIMKA received the PhD degree in electronics from Technical University of Košice (TUKE) in 2010. He works as a DRM and cryptography expert and holds CISSP certification. Miloš DRUTAROVSKÝ has been an associated professor at the TUKE since 2000. He conducts research in the area of cryptographic embedded systems and signal processing.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2012
Langue
anglais
ISBN 10 
3847318454
ISBN 13 
9783847318453
Reliure
Broché
Nombre de pages
192
Coordonnées du fabricant
non disponible
Personne responsable
non disponible