Biometric keystroke attribution

Abstract

A biometric attribution approach identifies a keyboard actor based on timing between entered keystrokes. Patterns tend to emerge in a timing interval between keystrokes entered by an actor. The keystroke patterns of an actor are analyzed to compute a signature exhibited by the actor. Gathered or intercepted keystroke patterns of an unknown actor are compared to identify a likelihood that typing sessions emanated from a common actor. Keystroke activity of a purported suspect actor can be compared to a database or model of keystroke attributes for determining if the keystroke activity emanated from the same actor as other keystroke sequences. Keystroke patterns rely only on the timing between keystrokes, as key data and upstroke information need not be gathered since the comparisons reply only on keystroke timing deltas.