• DocumentCode
    552998
  • Title

    Ontology of e-Learning security

  • Author

    Akmayeva, G. ; Shoniregun, C.

  • Author_Institution
    Infonomics Soc., Ireland
  • fYear
    2010
  • fDate
    28-30 June 2010
  • Firstpage
    652
  • Lastpage
    655
  • Abstract
    The ubiquitous nature of e-Learning applications in dealing with huge and diverse population of users creates the gap for errors and malicious attacks. The ability to quickly estimate security risks is particularly crucial for automated assessment of e-learning. What type of measures is taken to keep the privacy and integrity of the information stored? And whether there are mechanisms that can prevent cheating when performing online examinations? In most cases, the e-Learning applications are designed and implemented to combine distinct services into a coherent whole in order to fulfil sophisticated tasks that cannot be fulfilled by a single service. Therefore, an awareness of threats and their countermeasures are essential, as e-Learning does not operate in a vacuum. This paper focuses on the ontology of E-Learning security.
  • Keywords
    computer aided instruction; data integrity; data privacy; ontologies (artificial intelligence); automated assessment; cheating; e-learning security; information integrity; information privacy; malicious attacks; online examinations; ontology; security risks; ubiquitous nature; Collaboration; Electronic learning; Hardware; Security; Servers; Software; Unified modeling language;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Society (i-Society), 2010 International Conference on
  • Conference_Location
    London
  • Print_ISBN
    978-1-4577-1823-6
  • Electronic_ISBN
    978-0-9564263-3-8
  • Type

    conf

  • Filename
    6018837