Pseudorandom

Pseudorandom refers to a sequence of numbers or values that appear to be random but are actually generated by a deterministic process. In the context of computing and cryptography, pseudorandomness is commonly used to create sequences of numbers that mimic the properties of truly random numbers.

Unlike truly random numbers that are generated from unpredictable physical processes, pseudorandom numbers are generated using algorithms or mathematical formulas. These algorithms take an initial value called a seed and use it as input to produce a sequence of seemingly random values.

Pseudorandom numbers are often used in various applications, including simulations, cryptography, and randomization algorithms. However, it's important to note that pseudorandom numbers are not truly random and can be predictable if the seed or the algorithm used to generate them is known.

To enhance the quality of pseudorandom numbers and reduce predictability, cryptographic algorithms often incorporate additional entropy sources, such as system time, user input, or hardware-based random number generators, to generate the initial seed.

It's worth mentioning that pseudorandomness plays a crucial role in cryptographic systems, where it is used for key generation, encryption, and other security-related operations. Cryptographically secure pseudorandom number generators (CSPRNGs) are designed to produce sequences of numbers that are statistically indistinguishable from true random numbers and withstand various cryptographic attacks.

In summary, pseudorandomness refers to the generation of seemingly random values using algorithms or mathematical formulas. While pseudorandom numbers are not truly random, they find widespread use in various applications, including cryptography, simulations, and randomization algorithms. Cryptographically secure pseudorandom number generators are employed to produce high-quality pseudorandom numbers for secure cryptographic operations.

Also study