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Machine Learning with the Elastic Stack

You're reading from   Machine Learning with the Elastic Stack Expert techniques to integrate machine learning with distributed search and analytics

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Product type Paperback
Published in Jan 2019
Publisher Packt
ISBN-13 9781788477543
Length 304 pages
Edition 1st Edition
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Authors (2):
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Bahaaldine Azarmi Bahaaldine Azarmi
Author Profile Icon Bahaaldine Azarmi
Bahaaldine Azarmi
Rich Collier Rich Collier
Author Profile Icon Rich Collier
Rich Collier
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Toc

Table of Contents (12) Chapters Close

Preface Machine Learning for IT FREE CHAPTER Installing the Elastic Stack with Machine Learning Event Change Detection IT Operational Analytics and Root Cause Analysis Security Analytics with Elastic Machine Learning Alerting on ML Analysis Using Elastic ML Data in Kibana Dashboards Using Elastic ML with Kibana Canvas Forecasting ML Tips and Tricks Other Books You May Enjoy

Investigation analytics

Preparing the data as we described previously was fundamental to being able to properly analyze the data with Elastic ML and reveal the steps of an attack. In this section, we will go through an investigation scenario of a DNS exfiltration attack and leveraging the anomalies that are detected by using Elastic ML to guide the analyst in the process.

Assessment of compromise

It all starts with an email, as a consequence of abnormal behavior in the IT system. This time, it appears that an Elastic ML node has spotted a potential DNS exfiltration attack. The following screenshot shows that there were unusual activities against a given domain, originating from a server called server_101:

The alert shows...

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