Tuning Automatic Summarization for Incident Report Visualization

We present a machine learning approach to improve the accuracy of summarized incident report visualizations for cyber security. We extend a recent incident report summarization method by training a Bayesian hierarchical model to optimize the summarization algorithm's weights. We also train a fl...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	IEEE Pacific Visualization Symposium S. 191 - 195
Hauptverfasser:	Danneman, Nathan, Gove, Robert
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.04.2022
Schlagworte:	Human computer interaction Human-centered computing-Visualization-Visualization application domains-Information visualization Machine learning Machine learning algorithms Malware Neural networks Security and privacy-Intrusion/anomaly detection and malware mitigation Security and privacy-Usability in security and privacy Training Visualization
ISSN:	2165-8773
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!