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 | Second International Conference on Human Aspects of Information Security & Assurance (HAISA 2008) |
Title: Digital Fingerprinting Based on Keystroke Dynamics
Author(s): Ahmed Awad E Ahmed, Traore Issa, Almulhem Ahmed
Reference: pp94-104
Keywords: network forensics, digital fingerprinting, biometrics technologies, keystroke dynamics, free text detection of keystrokes
Abstract: 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.
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