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Random password generator. A random password generator is a software program or hardware device that takes input from a random or pseudo-random number generator and automatically generates a password. Random passwords can be generated manually, using simple sources of randomness such as dice or coins, or they can be generated using a computer.
Increasing either L or N will strengthen the generated password. The strength of a random password as measured by the information entropy is just the base-2 logarithm or log 2 of the number of possible passwords, assuming each symbol in the password is produced independently. Thus a random password's information entropy, H, is given by the formula:
Diceware. Diceware is a method for creating passphrases, passwords, and other cryptographic variables using ordinary dice as a hardware random number generator. For each word in the passphrase, five rolls of a six-sided die are required. The numbers from 1 to 6 that come up in the rolls are assembled as a five-digit number, e.g. 43146.
Cryptographically secure 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. It is also referred to as a cryptographic random number ...
[12] Blum-Blum-Shub is a PRNG algorithm that is considered cryptographically secure. Its base is based on prime numbers. Park-Miller generator: 1988 S. K. Park and K. W. Miller [13] A specific implementation of a Lehmer generator, widely used because it is included in C++ as the function minstd_rand0 from C++11 onwards. [14] ACORN generator
The Worst Passwords List is an annual list of the 25 most common passwords from each year as produced by internet security firm SplashData. [4] Since 2011, the firm has published the list based on data examined from millions of passwords leaked in data breaches, mostly in North America and Western Europe, over each year.
C T is the count of the number of durations T X between T 0 and T, T is the current time in seconds since a particular epoch, T 0 is the epoch as specified in seconds since the Unix epoch (e.g. if using Unix time, then T 0 is 0), T X is the length of one time duration (e.g. 30 seconds).
Truly random, as opposed to pseudorandom, one-time pad values, which is a non-trivial requirement. Random number generation in computers is often difficult, and pseudorandom number generators are often used for their speed and usefulness for most applications. True random number generators exist, but are typically slower and more specialized.
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