What do you mean by cryptographic PRNG?

pseudorandom number generator
A cryptographically secure pseudorandom number generator (CSPRNG) or cryptographic pseudorandom number generator (CPRNG) is a pseudorandom number generator (PRNG) with properties that make it suitable for use in cryptography.

What is cryptographic randomness?

Randomness refers to the outcome of a probabilistic process that produces independent, uniformly distributed and unpredictable values that can not be reliably reproduced. Several such faces of randomness in cryptography can be listed as follows.

What is the difference between a random number generator RNG and a pseudorandom number generator PRNG )?

Dear Korakot Boonyaphon, The difference between true random number generators(TRNGs) and pseudo-random number generators(PRNGs) is that TRNGs use an unpredictable physical means to generate numbers (like atmospheric noise), and PRNGs use mathematical algorithms (completely computer-generated).

What is the difference between random and pseudo random?

Pseudorandom means it’s produced by an algorithm that generates a series of bits that appear unpredictable, but in fact are computed from an algorithm. On the other hand, a random sequence of bits is something that’s not generated by a deterministic algorithm. It’s usually some physical phenomena.

Which are requirements of PRNG?

In terms of randomness, the requirement for a PRNG is that the generated bit stream appear random even though it is deterministic. There is no single test that can determine if a PRNG generates numbers that have the characteristic of randomness. The best that can be done is to apply a sequence of tests to the PRNG.

What are PRNG used for?

Pseudo Random Number Generator(PRNG) refers to an algorithm that uses mathematical formulas to produce sequences of random numbers. PRNGs generate a sequence of numbers approximating the properties of random numbers.

How random is pseudorandom?

Software-generated random numbers only are pseudorandom. They are not truly random because the computer uses an algorithm based on a distribution, and are not secure because they rely on deterministic, predictable algorithms.