> Looking at the traffic on this list I wondered if it'd
> be an idea to try document the things implementers should
> not do with (P)RNGs or to generate random (sets of:-)
> numbers.
>
> It seems like there's a lot of knowledge on that spread
> about and if there was someone was willing and able maybe
> an informational RFC about mistakes that have been made
> and how implementers can avoid 'em might be useful.
>
> Whatcha think?
>
> Or maybe that'd just generate endless debate and offer
> no useful guidance?
>
> Or maybe there's a survey paper out there somewhere
> or thesis that already has a load of that material?
well, here's some searches...
"prng random number generator secure implementation survey"
http://scholar.google.com/scholar?start=20&q=prng+random+number+generator+secure+implementation+survey&hl=en&as_sdt=1,5
"prng random number generator survey"
http://scholar.google.com/scholar?q=prng+random+number+generator+survey&btnG=&hl=en&as_sdt=1%2C5
..some cherry-picked items from first few pages of results (I havent
examined them, ymmv)...
Desai, Anand, Alejandro Hevia, and Yiqun Lisa Yin. "A practice-oriented
treatment of pseudorandom number generators." In Advances in
Cryptology—EUROCRYPT 2002, pp. 368-383. Springer Berlin Heidelberg, 2002.
http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.109.5819&rep=rep1&type=pdf
Matsumoto, Makoto, Mutsuo Saito, Hiroshi Haramoto, and Takuji Nishimura.
"Pseudorandom Number Generation: Impossibility and Compromise." J. UCS 12,
no. 6 (2006): 672-690.
http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.103.911&rep=rep1&type=pdf
Schoo, Marcus, Krzysztof Pawlikowski, and Donald C. McNickle. A survey and
empirical comparison of modern pseudo-random number generators for
distributed stochastic simulations. Department of Computer Science and
Software Development, University of Canterbury, 2005.
https://cosc.canterbury.ac.nz/research/reports/TechReps/2005/tr_0503.pdf
hth,
=JeffH
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