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» A Practical Secure Physical Random Bit Generator
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DCC
2005
IEEE
14 years 6 months ago
Elliptic Curve Cryptosystems in the Presence of Permanent and Transient Faults
Elliptic curve cryptosystems in the presence of faults were studied by Biehl, Meyer and M?uller (2000). The first fault model they consider requires that the input point P in the c...
Mathieu Ciet, Marc Joye
FPL
2004
Springer
154views Hardware» more  FPL 2004»
14 years 3 days ago
High Performance True Random Number Generator in Altera Stratix FPLDs
Abstract. The paper presents a high performance True Random Number Generator (TRNG) embedded in Altera Stratix Field Programmable Logic Devices (FPLDs). As a source of randomness, ...
Viktor Fischer, Milos Drutarovský, Martin S...
USENIX
2007
13 years 9 months ago
Passwords for Everyone: Secure Mnemonic-based Accessible Authentication
In many environments, a computer system is severely constrained to the extent that the practical input mechanisms are merely binary switches. Requiring the user to remember a long...
Umut Topkara, Mercan Topkara, Mikhail J. Atallah
CRYPTO
2009
Springer
119views Cryptology» more  CRYPTO 2009»
14 years 1 months ago
How Risky Is the Random-Oracle Model?
RSA-FDH and many other schemes secure in the Random-Oracle Model (ROM) require a hash function with output size larger than standard sizes. We show that the random-oracle instanti...
Gaëtan Leurent, Phong Q. Nguyen
CHES
1999
Springer
133views Cryptology» more  CHES 1999»
13 years 11 months ago
Random Number Generators Founded on Signal and Information Theory
The strength of a cryptographic function depends on the amount of entropy in the cryptovariables that are used as keys. Using a large key length with a strong algorithm is false co...
David Paul Maher, Robert J. Rance