Random number generation for simulation, blockchain and cryptography

Random number generation is common in various fields. Unfortunately, it is easy to be done wrongly, leading to inaccurate output or even security compromise. This talk aims on giving out a few case studies on using random numbers, e.g. how rand() in glibc fails when doing simulation, what should be cared for random numbers used in blockchain and cryptography, etc.