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IJCCBS
2010
146views more  IJCCBS 2010»
13 years 3 months ago
A meta-level true random number generator
: True random number generators (TRNGs) are extensively used in cryptography, simulations and statistics. In this work, we introduce, extend and analyse the concept of the randomis...
Bernhard Fechner, Andre Osterloh
MMB
2010
Springer
185views Communications» more  MMB 2010»
13 years 6 months ago
Reducing the Cost of Generating APH-Distributed Random Numbers
Phase-type (PH) distributions are proven to be very powerful tools in modelling and analysis of a wide range of phenomena in computer systems. The use of these distributions in sim...
Philipp Reinecke, Miklós Telek, Katinka Wol...
FSE
2008
Springer
110views Cryptology» more  FSE 2008»
13 years 6 months ago
How to Encrypt with a Malicious Random Number Generator
Chosen-plaintext attacks on private-key encryption schemes are currently modeled by giving an adversary access to an oracle that encrypts a given message m using random coins that ...
Seny Kamara, Jonathan Katz
FSE
2007
Springer
263views Cryptology» more  FSE 2007»
13 years 11 months ago
Bad and Good Ways of Post-processing Biased Physical Random Numbers
Algorithmic post-processing is used to overcome statistical deficiencies of physical random number generators. We show that the quasigroup based approach for post-processing rando...
Markus Dichtl
TIT
1998
90views more  TIT 1998»
13 years 4 months ago
Source Codes as Random Number Generators
—A random number generator generates fair coin flips by processing deterministically an arbitrary source of nonideal randomness. An optimal random number generator generates asy...
Karthik Visweswariah, Sanjeev R. Kulkarni, Sergio ...