On the Improvement of the Isolation Forest Algorithm for Outlier Detection with Streaming Data

On the Improvement of the Isolation Forest Algorithm for Outlier Detection with Streaming Data

In recent years, detecting anomalies in real-world computer networks has become a more and more challenging task due to the steady increase of high-volume, high-speed and high-dimensional streaming data, for which ground truth information is not available. Efficient detection schemes applied on netw...

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Bibliographic Details
Main Authors: Michael Heigl, Kumar Ashutosh Anand, Andreas Urmann, Dalibor Fiala, Martin Schramm, Robert Hable
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Electronics
Subjects:
intrusion detection
outlier detection
streaming data
network security
online learning
unsupervised learning
Online Access:https://www.mdpi.com/2079-9292/10/13/1534

Internet

https://www.mdpi.com/2079-9292/10/13/1534

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