Love polls! Do you know the difference between a pseudo random number generator (PRNG) and a true random number generator (TRNG)?
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Replying to @cybergibbons
For my son's science project last spring we replicated the cloudflare lava wall RNG. We ran 1000 hashes through the burp entropy tab, and it came out well. Curious if you consider this pseudo or true.https://github.com/p0rkchop/lavacam …
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Replying to @chrismerkel @cybergibbons
I was thinking, an attack against such an RNG could be to point a laser pointer at the camera lens, such that the image sensor maxes out and just sends constant data back to the script. What filter could one apply to the output stream to detect/mitigate adversarial inputs?
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Replying to @David3141593 @cybergibbons
It would have to be quite a powerful and precise laser to get the exact same color in a 24 bit spectrum across 12 million pixels in a modern CMOS. Ablation rates in lasers cause variability in wavelength as well.
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Replying to @chrismerkel @cybergibbons
Hmmm, well I was expecting it to just max out all three channels. Which is what happens in practice if I remember correctly from watching StyroPyro videos
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Replying to @David3141593 @cybergibbons
Depends on the natural variability in the spectrum emitted by the laser. Just because it looks like it filled the picture doesn't mean it can consistently do that for every pixel in the sensor.
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Replying to @chrismerkel @cybergibbons
I think it's less that, and more the fact that the sensor accepts a wide range of wavelengths with a normal-ish distribution. So if a single wavelength has high enough intensity, it can max out a sensor intended to focus on a different frequency band. (disclaimer: am not expert)
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random diagram from google imagespic.twitter.com/mVFA0g1Xcw
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