Discussion on the effectiveness and security of different random number generators (RNGs)

Viewed 12
The post discusses how different random number generators—including basic ones like Math.random() and more complex algorithms like MWC1616 and xorshift128+—perform and their cryptographic implications. A key point raised in the comments highlights that many simple RNGs, often based on the current timestamp, may be insecure, especially under real-world conditions where they could be manipulated. The conversation also touches on the relevance of RNG selection in web applications, noting that the inherently insecure nature of web environments necessitates robust server-side validation. There’s a clear implication that while simple RNGs may suffice in non-critical situations, they are inadequate for security-sensitive applications, prompting a deeper examination of RNG security in a tech-savvy audience.
0 Answers