Dynamic Log File Analysis: An Unsupervised Cluster Evolution Approach for Anomaly Detection

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Research Field

@article{f3c526daa9924744bf00387a61293f67,

title = "Dynamic Log File Analysis: An Unsupervised Cluster Evolution Approach for Anomaly Detection",

author = "Max Landauer and Markus Wurzenberger and Florian Skopik and Giuseppe Settanni and Peter Filzmoser",

year = "2018",

language = "English",

volume = "79",

pages = "94--116",

journal = "Computers \& Security",

issn = "0167-4048",

publisher = "Elsevier Ltd.",

}