Data-Driven Network Security Essentials.
(Online Course)
Author
Contributors
Published
Carpenteria, CA linkedin.com, 2017.
Format
Online Course
Status
Description
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More Details
Language
English
Notes
General Note
6/01/201712:00:00AM
Participants/Performers
Presenter: Jungwoo Ryoo
Description
Learn how to improve network security by leveraging data. Learn about data collection, network forensics, and how to use machine learning and visualization to process network data.
Description
Explore essential concepts, skills, and techniques for managing network security and forensics. In this course, Jungwoo Ryoo explains how to improve network security and forensics by leveraging data. He begins by reviewing essentials such as firewalls, VPNs, and vulnerability management systems. Next, he explores different data sources, and explains how the data from diverse sources can be a powerful tool to enhance your network security. Jungwoo also covers network data collection techniques and tools, and machine learning and visualization to process network data and detect anomalies.
System Details
Latest version of the following browsers: Chrome, Safari, Firefox, or Internet Explorer. Adobe Flash Player Plugin. JavaScript and cookies must be enabled. A broadband Internet connection.
Citations
APA Citation, 7th Edition (style guide)
Ryoo, J. (2017). Data-Driven Network Security Essentials . linkedin.com.
Chicago / Turabian - Author Date Citation, 17th Edition (style guide)Ryoo, Jungwoo. 2017. Data-Driven Network Security Essentials. linkedin.com.
Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)Ryoo, Jungwoo. Data-Driven Network Security Essentials linkedin.com, 2017.
MLA Citation, 9th Edition (style guide)Ryoo, Jungwoo. Data-Driven Network Security Essentials linkedin.com, 2017.
Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.