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

Implemention of Secured Log Analysis Environment for Moodle using Virtual Cloud Provider Service
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使用虚拟云提供商服务为 Moodle 实施安全日志分析环境

DOI:
10.1016/j.procs.2021.09.088
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发表时间:
2021
期刊:
Procedia Computer Science
影响因子:
--
通讯作者:
Aida Kento
Aida Kento
中科院分区:
--
文献类型:
--
作者:
Hamamoto Nobukuni;Yokoyama Shigetoshi;Takefusa Atsuko;Aida Kento

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随着学习管理系统(LMS)在许多高校的普及,大规模的Moodle系统如跨大学学习管理系统已经实现,并且积累了大量的LMS日志数据。要处理如此大量的数据,使用云计算环境是有效的。然而,由于LMS日志数据包含了大量的个人信息,为了在云计算环境中使用这些数据,往往需要对数据进行匿名或假名处理。在这项研究中,我们利用美国国家信息学研究所(NII)提供的GakuNin-Cloud按需配置服务,实现了一个将组织内部服务器和云计算环境相结合的日志分析环境。在这种环境下,LMS日志以假名方式存储在云中,当需要分析日志时,重新识别代理自动删除假名。我们将该环境应用于群马大学的Moodle系统。我们还将该环境应用于由GakuNin Cloud按需配置服务创建的一个示例Moodle。
As learning management systems (LMSs) become increasingly popular in many universities, large scale Moodle 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 Moodle system at Gunma University. We also applied the environment to an example Moodle created by the GakuNin Cloud on-demand configuration service.
开放课程:通过敞开的门——作为研究、学习和参与的开放课程
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