Continuous Authentication Based on Language Redundancy Analysis and Keystrokes Dynamics

In this paper, we have proposed a method by which we can continuously authenticate one claimant person through keystroke values of frequent letters in text. Language redundancy in human languages describe that all the letters are not evenly distribute in any text. Few letters in a text occurs most frequently and keystroke dynamics of those letters are taken into consideration as a measure for continuous authentication. A letter may distribute in many places in the text but more or less the keystroke timing of that letter is same. Comparison of a letter keystroke pattern values will authenticate user on regular basis. The proposed method was applied and evaluated on a sophisticated number of genuine users to prove that the authentication performance effective and satisfactory.