Random number generators (RNGs) generate "supposedly" random numbers for use in your application or solution. However, most RNGs are algorithmic, "pseudo", that anyone who deeply understands the algorithm may be able to regenerate the "random" numbers. Often this isn't too concerning: go ahead, recreate the shuffled songs played by Sonos.

But when it's important, it's REALLY important: cryptographic keys, digital signatures, authentication challenges, statistical analysis, gaming and gambling. Different algorithms have different entropy: higher entropy leading to better randomness - assuming, of course, no back doors were injected! That said, even strong algorithms displaying high entropy _may_ have faults to exploit. Should you be concerned?

In this session we'll dig into RNGs, pseduo-RNGs and, for the truly concerned or paranoid, learn to create custom true RNGs that are impossible to hack. Hope you can join us!

This talk is both theory and fun/geeky, defining random number generation - not going overly deep, differences between true and pseudo, possible ways to test, etc - and then creating hardware RNGs that are based on your personal environment and therefore very likely to be random AND unbreakable.