Volume 4, 2016: Issue 1

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An empirical study of authentication methods to secure e-learning system activities against impersonation fraud


Shauna Beaudin, Nova Southeastern University, Florida, USA
Yair Levy, Nova Southeastern University, Florida, USA
James Parrish, Nova Southeastern University, Florida, USA
Theon Danet, Florida Institute of Technology, Florida, USA


The demand for e-learning systems in both academic and non-academic organizations has increased the need to improve security against impersonation fraud. Although there are a number of studies focused on securing Web-based systems from Information Systems (IS) misuse, research has recognized the importance of identifying suitable levels of authenticating strength for various activities. In e-learning systems, it is evident that due to the variation in authentication strength among controls, a ‘one size fits all’ solution is not suitable for securing diverse e-learning activities against impersonation fraud. The focus of this exploratory study was to investigate what levels of authentication strength users perceive to be most suitable for activities in e-learning systems against impersonation fraud and aimed to assess if the ‘one size fits all’ approach that is mainly used is valid when it comes to securing e-learning activities from impersonation fraud. A sample of 1,070 e-learners was analyzed using descriptive statistics and exploratory factor analysis to uncover suitable levels of authentication strength to secure elearning activities against impersonation fraud. The findings determined that there is a specific set of e-learning activities that have high potential for impersonation and need a moderate to high level of authentication strength to reduce the threat.


Authentication in e-learning systems, e-learning impersonation fraud, risk mitigation in e-learning, authentication in e-learning activities, suitable authentication strength in e-learning activities




Research paper


The Online Journal of Applied Knowledge Management (OJAKM), ISSN: 2325-4688


International Institute for Applied Knowledge Management (IIAKM)