Multi-Dimensional Network Anomaly Detection with Machine Learning
• Presentation
Discusses multi-dimensional anomaly detection using machine learning to combine traffic data and address dimensionality, with tools like YAF and Apache Spark.
Publisher
CounterFlow AI, Inc.
Topic or Tag
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.