Identify Cryptanalytic Brute-Force Attack Using Frequent Pattern Mining

Abstract

A brute-force attack consists of an attacker trying many passwords or passphrases with the hope of eventually guessing correctly. The attacker systematically checks all possible passwords and passphrases until the correct one is found. Alternatively, the attacker can attempt to guess the key which is typically created from the password using a key derivation function. This is known as an exhaustive key search. In this paper we proposed a new approach based on pattern mining of data mining techniques. We have taken 10 values which is most commonly used for passed. In the proposed approach we find most common things that used for password by most of the user.