Digital Fingerprinting Based on Keystroke Dynamics.
Ahmed Awad E. Ahmed, Issa Traoré, Ahmad Almulhem · HAISA · 2008
Digital fingerprinting is an important but still challenging aspect of network forensics. This paper introduces an effective way to identify an attacker based on a strong behavioral biometric. We introduce a new passive digital fingerprinting technique based on keystroke dynamics biometrics. The technique is based on free text detection and analysis of keystroke dynamics. It allows building a behavioral model from passively collected data, and identifying users based on a very minimal amount of data.