Anomaly detection in network traffic with a relationnal clustering criterion

DOI10.1007/978-3-319-68445-1_15zbMATH Open1425.94031OpenAlexW2765291529MaRDI QIDQ1689118

Damien Nogues

Publication date: 12 January 2018

Full work available at URL: https://doi.org/10.1007/978-3-319-68445-1_15

Mathematics Subject Classification ID

Communication networks in operations research (90B18) Detection theory in information and communication theory (94A13)

Related Items (2)

Using an improved clustering method to detect anomaly activities ⋮ Anomaly Detection in Partially Observed Traffic Networks

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