Paper Details: Downloads: 1165
Serial Number: P1121606475
Title: Enhanced User Authentication through Keystroke Biometrics for Short-Text and Long-Text Inputs
Authors: M. AbdelDayem and H. Hemeda and A. Sarhan
Abstract: Password typing is the most common authentication method to secure computer systems. However, due to its simplicity, it could be easily compromised. Keystroke dynamics can be combined with password checking to result in a more secure and robust system, inexpensively and effectively. This paper investigates the use of the keystroke dynamics biometric as an authentication method. We employ algorithms to authenticate users through their shorttext and long-text typing patterns. The experimental results show that our system has high specificity when dealing with short-text input and high sensitivity when dealing with long-text input.
Keywords: Computer Security, Authentication, Biometrics, Keystroke Dynamics, Pattern Recognition, Identity Verification.
Journal/Conference: International Journal of Artificial Intelligence and Machine Learning
Volume: 16
Issue: 1
Submission Date: 2/3/2016 12:00:00 AM
Review Date: 2/22/2016 12:00:00 AM
Publishing Date: 3/19/2016 12:00:00 AM
Article Downloads: 1165
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