Automatic construction of anomaly detectors from graphical models

Detection of rare or previously unseen attacks in cyber security presents a central challenge: how does one search for a sufficiently wide variety of types of anomalies and yet allow the process to scale to increasingly complex data? In particular, creating each anomaly detector manually and trainin...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Ferragut, Erik M., Darmon, D. M., Shue, C. A., Kelley, S.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Computational modeling Data models Detectors Graphical models Hidden Markov models IP networks Training
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