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

Digital Library

Javascript is currently disabled for your browser. For an optimal search experience, please enable javascript.

Advanced Search

Basic Search

Content Type

Topics

Publication Date

Presentation

Multi-Dimensional Network Anomaly Detection with Machine Learning

  • January 2018
  • In this presentation, the authors introduce the state of the art in machine learning anomaly detection and give insight into techniques to limit the errors of statistical approaches.
  • Network Situational Awareness
  • Publisher: CounterFlow AI
  • 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.

     

  • Download

Part of a Collection

FloCon 2018 Presentations