Pseudorandom Number Generator vs True Random Number Generator
Developers should learn about PRNGs when building applications that require random-like behavior, such as video games for procedural generation, simulations for modeling complex systems, or cryptographic systems for generating keys and nonces meets developers should use trngs in cryptographic systems (e. Here's our take.
Pseudorandom Number Generator
Developers should learn about PRNGs when building applications that require random-like behavior, such as video games for procedural generation, simulations for modeling complex systems, or cryptographic systems for generating keys and nonces
Pseudorandom Number Generator
Nice PickDevelopers should learn about PRNGs when building applications that require random-like behavior, such as video games for procedural generation, simulations for modeling complex systems, or cryptographic systems for generating keys and nonces
Pros
- +They are essential in scenarios where performance and reproducibility are prioritized over true randomness, as PRNGs are faster and more predictable than hardware-based random number generators
- +Related to: cryptography, statistical-simulation
Cons
- -Specific tradeoffs depend on your use case
True Random Number Generator
Developers should use TRNGs in cryptographic systems (e
Pros
- +g
- +Related to: cryptography, security-engineering
Cons
- -Specific tradeoffs depend on your use case
The Verdict
These tools serve different purposes. Pseudorandom Number Generator is a concept while True Random Number Generator is a tool. We picked Pseudorandom Number Generator based on overall popularity, but your choice depends on what you're building.
Based on overall popularity. Pseudorandom Number Generator is more widely used, but True Random Number Generator excels in its own space.
Disagree with our pick? nice@nicepick.dev