Chih-Hung Hsieh; Cheng-Hao Yan; Ching-Hao Mao; Chi-Ping Lai; Jenq-Shiou Leu
2016 International Computer Symposium (ICS),
2016-Dec.
Conference Proceeding
Due to more and more on-premises services are migrating onto cloud, user behavioral analysis then gets popular as a data-driven way to administer lots accounts of on-cloud services. This paper proposes a novel rule-based approach, GMiner, for mining different types of Google cloud drive usages as an unsupervised account-management approach. Experiment results show that GMiner provides accurate, inter-pretable, and visualized clustering results which are helpful for highlighting inactive, quasi-insider accounts, or other potential cyber-security risks from real-environment dataset.
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