Reducing false positives of network anomaly detection by local adaptive multivariate smoothing

DOI10.1016/j.jcss.2016.03.007zbMath1350.68093OpenAlexW2329795475WikidataQ125293906 ScholiaQ125293906MaRDI QIDQ314797

Martin Rehak, Tomáš Pevný, Martin Grill

Publication date: 16 September 2016

Published in: Journal of Computer and System Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jcss.2016.03.007

zbMATH Keywords

false positive rate reductionnetwork anomaly detectionregression smoothing

Mathematics Subject Classification ID

Multivariate analysis (62H99) Numerical smoothing, curve fitting (65D10) Network design and communication in computer systems (68M10) Cryptography (94A60) Data encryption (aspects in computer science) (68P25)

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