Fwd: Physics News Update 605 - liquid crystal random numbergenerator

2002-09-19 Thread Charles McElwain

Date: Wed, 18 Sep 2002 14:27:56 -0400
From: [EMAIL PROTECTED]
Subject: Physics News Update 605

PHYSICS NEWS UPDATE
The American Institute of Physics Bulletin of Physics News
Number 605  September 18, 2002   by Phillip F. Schewe, Ben Stein, and James
Riordon

[...]
FAST, CHEAP RANDOM NUMBERS.   The keys needed to encrypt credit card
transactions and other crucial information floating in cyberspace often rely
on an infusion of random numbers.  Generating true random numbers is
actually harder than it seems since the generation process generally follows
some deterministic algorithm, permitting the possible reappearance of
unwanted predictability.  James Gleeson, a physicist at Kent State
University (330-672-9592, [EMAIL PROTECTED]) has come up with a
cheap, fast solution.  He shoots laser light into a sample of liquid
crystals.  But because the sample is subject to a turbulent flow, causing
haphazard fluctuations in the orientation of the liquid crystals, the
digitized transmitted light coming from the sample represents a stream of
random numbers.   Gleeson believes that because his device depends on
standard liquid-crystal-display technology, his compact device can be used
for many processes requiring random-number generation.  (Applied Physics
Letters, 9 September 2002.)

***
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Re: Fwd: Physics News Update 605 - liquid crystal random numbergenerator

2002-09-19 Thread Bram Cohen

Charles McElwain wrote:

 James Gleeson, a physicist at Kent State
 University (330-672-9592, [EMAIL PROTECTED]) has come up with a
 cheap, fast solution.  He shoots laser light into a sample of liquid
 crystals.  But because the sample is subject to a turbulent flow, causing
 haphazard fluctuations in the orientation of the liquid crystals, the
 digitized transmitted light coming from the sample represents a stream of
 random numbers.

There's no way a laser's going to be cheaper than a Johnson noise
generator.

Really, the random number generation has been solved - use a Johnson noise
generator for the random bits, and (not withstanding /dev/random's
suboptimal behavior) put them through a cryptographic device which will
spew out indefinite amounts of random numbers once it's gotten
sufficiently seeded.

-Bram Cohen

Markets can remain irrational longer than you can remain solvent
-- John Maynard Keynes


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