Implemention of Secured Log Analysis Environment for Moodle using Virtual Cloud Provider Service

KNOWLEDGE-BASED AND INTELLIGENT INFORMATION & ENGINEERING SYSTEMS (KSE 2021)(2021)

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摘要
As learning management systems (LMSs) become increasingly popular in many universities, large scale Moodie systems, such as cross-university LMSs, have been implemented, and they accumlate a large amount of LMS log data. To handle such a large amount of data, it is effective to use a cloud computing environment. However, because LMS log data contain much personal information, it is often necessary to anonymise or pseudonymise the data to use them in cloud computing environment. In this study, we implemented a log analysis environment that combines an organisation's internal server and a cloud computing environment by using the GakuNin-Cloud on-demand configuration service provided by the National Institute of Informatics (NII). In this environment, LMS logs are stored in the cloud with pseudonymisation, and the pseudonymisation is automatically removed by a re-identification proxy when the logs need to be analysed. We applied the environment to the Moodie system at Gunma University. We also applied the environment to an example Moodie created by the GakuNin Cloud on-demand configuration service. (C) 2021 The Authors. Published by Elsevier B.V.
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关键词
Moodle, Log analysis environment, Pseudonymisation, GakuNin Cloud
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