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A related measure is the base-2 logarithm of the number of guesses needed to find the password with certainty, which is commonly referred to as the "bits of entropy". [9] A password with 42 bits of entropy would be as strong as a string of 42 bits chosen randomly, for example by a fair coin toss.
The above calculations of the Diceware algorithm's entropy assume that, as recommended by Diceware's author, each word is separated by a space. If, instead, words are simply concatenated, the calculated entropy is slightly reduced due to redundancy; for example, the three-word Diceware phrases "in put clammy" and "input clam my" become ...
This is a list of Hypertext Transfer Protocol (HTTP) response status codes. Status codes are issued by a server in response to a client's request made to the server. It includes codes from IETF Request for Comments (RFCs), other specifications, and some additional codes used in some common applications of the HTTP. The first digit of the status ...
The salt and hash are then stored in the database. To later test if a password a user enters is correct, the same process can be performed on it (appending that user's salt to the password and calculating the resultant hash): if the result does not match the stored hash, it could not have been the correct password that was entered.
Redundancy of compressed data refers to the difference between the expected compressed data length of messages () (or expected data rate () /) and the entropy (or entropy rate ). (Here we assume the data is ergodic and stationary , e.g., a memoryless source.)
A main encryption/decryption key is derived from user's password by PBKDF2 function. [2] Particular data binary large objects can be encrypted in a way that salt is added and/or an external user-prompted password (aka "Strong Key Protection") is required. The use of a salt is a per-implementation option – i.e. under the control of the ...
When password-guessing, this method is very fast when used to check all short passwords, but for longer passwords other methods such as the dictionary attack are used because a brute-force search takes too long. Longer passwords, passphrases and keys have more possible values, making them exponentially more difficult to crack than shorter ones ...
Software entropy describes a tendency for repairs and modifications to a software system to cause it to gradually lose structure or increase in complexity. [11] Manny Lehman used the term entropy in 1974 to describe the complexity of a software system, and to draw an analogy to the second law of thermodynamics.