Data Management - Advanced Intrusion Detection

This course explores data management and data collection.

4 videos  //  68 minutes of training

Course description

In this course we will discuss the importance of organizing how to collect, store and process the data you will eventually use for detections. We will cover the various stages of data collection, as well as methods and tools for collecting data. There will be an example of how to utilize various shippers, such as Beats agents.

Course syllabus

Data Management Overview - Advanced Intrusion DetectionDuration: 25:27

The importance of creating a process for collecting data

Data Collection Methods - Advanced Intrusion DetectionDuration: 8:42

An overview of ETL and how to create a pipeline to ingest the data you need to build detections

Data Mover ExampleDuration: 20:09

We will overview the YML file of an Elastic Beats agent. Students will learn how to configure it to ship data.

Data Science and Cybersecurity - Advanced Intrusion DetectionDuration: 13:15

An overview of M.L. and how it can be used within the domain of cybersecurity

Meet the author

Mark Viglione

LinkedIn

Mark Viglione is a graduate of Penn State University. He has experience working at a Fortune 500 company as a cybersecurity engineer. Mark is the founder of Enigma Networkz, a SaaS cybersecurity data analytics company helping small to midsized organizations protect their environment from cyber threats. He is a member of Ben Franklin Technology Partner’s client portfolio program and has been a speaker at Penn State Berks LaunchBox events. He has also authored various cybersecurity related coursework and labs.

Mark holds multiple cybersecurity certificates: SSCP (Systems Security Certified Practitioner), SANS GCIA (Certified Intrusion Analyst) and CompTIA CySA+ (Cybersecurity Analyst).

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