Hardware RNG vs Non-Cryptographic PRNG

Developers should use Hardware RNG when building systems that require high levels of security and unpredictability, such as cryptographic key generation, secure authentication tokens, or online gambling platforms meets developers should use non-cryptographic prngs when they need efficient random number generation for tasks like monte carlo simulations, procedural content generation in games, or random sampling in data analysis, where predictability or security is not a concern. Here's our take.

Hardware RNG

Nice Pick

Developers should use Hardware RNG when building systems that require high levels of security and unpredictability, such as cryptographic key generation, secure authentication tokens, or online gambling platforms

Pros

• It is particularly valuable in scenarios where pseudorandomness could be exploited, such as in financial transactions or military communications, to prevent attacks based on predictable patterns
• Related to: cryptography, security-hardware

Cons

• Specific tradeoffs depend on your use case

Non-Cryptographic PRNG

Developers should use non-cryptographic PRNGs when they need efficient random number generation for tasks like Monte Carlo simulations, procedural content generation in games, or random sampling in data analysis, where predictability or security is not a concern

Pros

• They are ideal for scenarios requiring high throughput and reproducibility, as the same seed produces identical sequences, aiding in debugging and testing
• Related to: cryptographic-prng, random-number-generation

Cons

• Specific tradeoffs depend on your use case

The Verdict

These tools serve different purposes. Hardware RNG is a tool while Non-Cryptographic PRNG is a concept. We picked Hardware RNG based on overall popularity, but your choice depends on what you're building.

The Bottom Line

Hardware RNG wins

Based on overall popularity. Hardware RNG is more widely used, but Non-Cryptographic PRNG excels in its own space.