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- Path: sparky!uunet!cs.utexas.edu!torn!nott!cunews!revcan!cerianthus!uuisis!tanda!marc
- From: marc@tanda.isis.org (Marc Thibault)
- Newsgroups: sci.crypt
- Subject: Re: unpredictable random generators (terminology)
- Message-ID: <36441102DN5.61R@tanda.isis.org>
- Date: Fri, 20 Nov 92 12:14:02 EST
- References: <CH28NFT@minnie.zdv.uni-mainz.de>
- Reply-To: marc@tanda.isis.org
- Distribution: na
- Organization: Thibault & Friends
- Lines: 50
-
- In article <CH28NFT@minnie.zdv.uni-mainz.de>
- (Prof. Dr. Klaus Pommerening) writes:
- ....
- > In the literature there is a certain confusion as to how call this sort
- > of (unpredictable) pseudo-random generators. Examples are:
- > - secure
- > - unpredictable
- > - cryptographically strong
- > - perfect
- > I prefer the latter term, because it is so short, and, more
- > important, the cryptographic strength implies that the generator
- > passes all efficient statistical tests -- truly perfect, isn't it?
-
- This raises an interesting question: Given an unpredictable
- number generator (never mind how), just how (statistically)
- random does its output have to be to be cryptographically
- strong? I'm thinking of something like Pickover's strange
- attractor. There's a hazy pattern there, but it doesn't seem
- that the pattern would be a useful analytic tool.
-
- For the record, Pickover's Strange Attractor:
-
- X' = sin(a*Y) - Z*cos(b*X)
- Y' = Z*sin(c*X) - cos(d*Y)
- Z' = e*sin(X)
-
- a,b,c,d,e and the initial X,Y,Z are arbitrary values.
-
- I'm not suggesting that Pickover is an UNG, but offering it as
- an example of a generator with a non-random, but interesting
- distribution.
-
- Cheers,
- Marc
- ---
- Marc Thibault | Consulting Systems Analyst | The PC: Colt '45
- marc@tanda.isis.org | R.R.1, Oxford Mills, | of the information
- CIS:71441,2226 | Ontario, Canada K0G 1S0 | frontier
- NC FreeNet: aa185 | |
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