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2. Random number generation - Wikipedia

   en.wikipedia.org/wiki/Random_number_generation

   Random number generation is a process by which, often by means of a random number generator ( RNG ), a sequence of numbers or symbols that cannot be reasonably predicted better than by random chance is generated. This means that the particular outcome sequence will contain some patterns detectable in hindsight but impossible to foresee.

3. Guerrilla Mail - Wikipedia

   en.wikipedia.org/wiki/Guerrilla_Mail

   Features. Guerrilla Mail randomly generates disposable email addresses. [1] Disposable email addresses may be used as a means of spam prevention. [2] They may also be used if the user does not wish to give a real email, for example if they fear a data breach. Emails sent to addresses are kept for one hour before deletion.

4. List of random number generators - Wikipedia

   en.wikipedia.org/wiki/List_of_random_number...

   However, generally they are considerably slower (typically by a factor 2–10) than fast, non-cryptographic random number generators. These include: Stream ciphers. Popular choices are Salsa20 or ChaCha (often with the number of rounds reduced to 8 for speed), ISAAC, HC-128 and RC4. Block ciphers in counter mode.

5. AOL Mail

   mail.aol.com

   Get AOL Mail for FREE! Manage your email like never before with travel, photo & document views. Personalize your inbox with themes & tabs. You've Got Mail!

6. Mersenne Twister - Wikipedia

   en.wikipedia.org/wiki/Mersenne_Twister

   Mersenne Twister. The Mersenne Twister is a general-purpose pseudorandom number generator (PRNG) developed in 1997 by Makoto Matsumoto [ ja] (松本 眞) and Takuji Nishimura (西村 拓士). [1] [2] Its name derives from the choice of a Mersenne prime as its period length.

7. Pseudorandom number generator - Wikipedia

   en.wikipedia.org/wiki/Pseudorandom_number_generator

   A pseudorandom number generator ( PRNG ), also known as a deterministic random bit generator ( DRBG ), [1] is an algorithm for generating a sequence of numbers whose properties approximate the properties of sequences of random numbers. The PRNG-generated sequence is not truly random, because it is completely determined by an initial value ...