Software Engineering Institute | Carnegie Mellon University
Software Engineering Institute | Carnegie Mellon University

Digital Library

Presentation

Multi-Dimensional Network Anomaly Detection with Machine Learning

  • Abstract

    In this presentation, the authors describe how recent multi-dimensional anomaly detection algorithms from machine learning can be used to combine traffic from multiple sources, while addressing the curse of dimensionality. Then, using an open-source platform of YAF, Apache Spark, and Apache Spot (incubating), they show how these algorithms can be used to provide effective focus for analysts and improve network outcomes.

     

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FloCon 2018 Presentations