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Guessing entropy

(also Password entropy)

Guessing entropy definition

Guessing entropy measures the difficulty in correctly predicting a secret such as a password. It quantifies the variety of possible predictions an attacker might make and indicates security strength. A higher guessing entropy suggests stronger passwords and vice versa.

See also: Passphrase

Use cases of guessing entropy

  1. 1.Password policies. Organizations set password complexity requirements based on guessing entropy. It assures that users create stronger security keys.
  2. 2.Authentication systems. Guessing entropy helps design methods that resist brute-force attacks. It protects sensitive accounts and data.
  3. 3.Encryption keys. Guessing entropy in robust encryption keys enhances the security of data transmissions and storage.
  4. 4.Biometric security. Guessing entropy provides the uniqueness and unpredictability of biometric templates such as fingerprint or face recognition.
  5. 5.Token generation. When generating tokens for two-factor authentication, guessing entropy ensures that they are sufficiently random and difficult to predict.