作者: Ivan Palomares , Harsha Kalutarage , Yan Huang , Paul Miller Robert McCausland , Gavin McWilliams
DOI: 10.1109/IFSA-SCIS.2017.8023360
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摘要: With the increase in volume, heterogeneity and uncertainty data, conventional analytics approaches for monitoring users behavior organisations are no longer sufficient effective reliable detection of malicious activities. This motivates need introducing additional analysis techniques. paper introduces an intelligent fusion method based on fuzzy aggregation functions typically utilized multi-criteria decision making. The proposed method, which can be integrated with systems, undertakes temporal processes pre-analyzed to enhance decision-making. An application a prominent area research cyber-security domain, insider threat problem, is shown validate usefulness our method.