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Sep 3, 2010 at 15:20 comment added Thierry Zell @sleepless: I need to find a really good quote from that chapter. But he does mention a lot of hardware-based solutions and attendant issues, including the fact that a generator based on radio-active decay may miss disintegration that are too close together. The book is aimed at a wide readership, and the chapter covers as much cryptographic applications as sources of randomness, so there must be better references for this out there.
Sep 3, 2010 at 5:00 comment added sleepless in beantown That sounds very interesting. What about hardware based random number generation based on chaotic processes, such as when SGI patented and implemented Lavarand, a hardware RNG using an image of a lava lamp as the seed for a PRNG. It's still questionable how chaotic the lava lamp image is; however an improved version LavaRND uses noise from a CCD image sensor as an entropy source followed by multiple SHA hash, rotates, and folds. www.lavarnd.org/what/digital-blender.html
Sep 2, 2010 at 19:04 history answered Thierry Zell CC BY-SA 2.5