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
Link To Document :
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