Investigating keystroke dynamics as a two-factor biometric security
Date
2018
Authors
Njogholo, Brian Mwandau
Journal Title
Journal ISSN
Volume Title
Publisher
Strathmore University
Abstract
Keystroke dynamics is the study of how people can be distinguished based on their typing rhythms. This proposal aims at investigating user authentication approaches and how keystroke dynamics can be used to enhance user authentication and access control. With more users embracing technologies and using applications without necessarily understanding the security repercussions, a further protection mechanism needs to be employed. It emphasizes on the need of an additional layer of security, through keystroke dynamics, on top of the traditional username-password combination to enhance security during authentication. It also proposes the use of a machine learning classifier for possible application in keystroke dynamics to verify and validate the legitimacy of a user during authentication.
Description
Thesis submitted in partial fulfillment of the requirements for the Degree of Master of Science in Information Systems Security (MSc.ISS) at Strathmore University
Keywords
Validation., Keystroke Dynamics, Authentication, Machine Learning, Artificial Neural Network, Biometric, Security