Machine Learning with Zeek and Tensorflow (Part 2): Processing the Data

Machine Learning with Zeek and Tensorflow (Part 2): Processing the Data

Channel:
United States SANS Cyber Defense
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20,000
Published on ● Video Link: https://www.youtube.com/watch?v=1btEQ9CmCvA


Duration: 57:48
1,201 views
23

In episode 1, we were able to talk to Zeek remotely and get Zeek to forward us stream data. How do we preprocess this data into something that we can use for machine learning, anomaly detection, and classification? We’ll dive into the Python and see how far we can get on this task!

David Hoelzer, the operations chief for Enclave Forensics, Inc. and a managing partner with Occulumen, Ltd. (and SANS Fellow) will lead this livestream. David has more than thirty years of experience in the IT and cybersecurity fields, with more than 25 years specifically in the network monitoring, SOC operations, and incident response fields. He leads the machine learning function within Enclave Forensics and is the author of both SEC503 (Intrusion Detection In-Depth) and SEC595 (Applied Data Science and Machine Learning/AI for Cybersecurity Professionals).

Learn more about SANS SEC503 and SEC595:
https://www.sans.org/cyber-security-courses/intrusion-detection-in-depth/
https://www.sans.org/cyber-security-courses/applied-data-science-machine-learning/

#tensorflow #machinelearning #ai #ml #zeek #networking #datascience #python
#artificialintelligence



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