Towards e-learning security: a machine learning approach

Taiwo Ayodele, Charles A. Shoniregun, Galyna Akmayeva

Research output: Chapter in Book/Report/Published conference proceedingConference contributionpeer-review


E-learning allows us to learn anywhere, any place and any time as long as there is access to a configured computer system. E-learning can be network-based, intranet-based, internet-based, cd/dvd-based. It can include audio, video, text, animation and virtual environments. However, the increase of e-learning tools by allowing the creation learning environments does create loop holes for security bridges such as: inadequate authentication for online assessments, identity theft, and impersonation. We propose a new framework that can reduce the security risks, and provide an intelligent e-learning preventive mechanism (IEPM) to identify users' pattern of behaviour in order to determine the level of risks and recommend preventive measures.
Original languageEnglish
Title of host publicationInternational Conference on Information Society (i-Society 2011)
Number of pages3
ISBN (Electronic)978-0-9564263-8-3
ISBN (Print)978-1-61284-148-9
Publication statusPublished - 27 Jun 2011
Externally publishedYes
EventInternational Conference on Information Society (i-Society 2011) - London, United Kingdom
Duration: 27 Jun 201129 Jun 2011


ConferenceInternational Conference on Information Society (i-Society 2011)
Abbreviated titlei-Society
Country/TerritoryUnited Kingdom
Internet address

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