Cryptographically Secure Random vs Pseudorandom Number Generator
Developers should use cryptographically secure random when generating data for security-sensitive operations, such as creating encryption keys, session tokens, passwords, nonces, or initialization vectors in cryptographic systems meets 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. Here's our take.
Cryptographically Secure Random
Developers should use cryptographically secure random when generating data for security-sensitive operations, such as creating encryption keys, session tokens, passwords, nonces, or initialization vectors in cryptographic systems
Cryptographically Secure Random
Nice PickDevelopers should use cryptographically secure random when generating data for security-sensitive operations, such as creating encryption keys, session tokens, passwords, nonces, or initialization vectors in cryptographic systems
Pros
- +It is essential in applications like web security (e
- +Related to: encryption, cryptography
Cons
- -Specific tradeoffs depend on your use case
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
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
The Verdict
Use Cryptographically Secure Random if: You want it is essential in applications like web security (e and can live with specific tradeoffs depend on your use case.
Use Pseudorandom Number Generator if: You prioritize 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 over what Cryptographically Secure Random offers.
Developers should use cryptographically secure random when generating data for security-sensitive operations, such as creating encryption keys, session tokens, passwords, nonces, or initialization vectors in cryptographic systems
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