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Intrusion Detection Systems - An Overview

Offered By: Toronto Machine Learning Series (TMLS) via YouTube

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Intrusion Detection Systems Courses Artificial Intelligence Courses Big Data Courses Cybersecurity Courses Machine Learning Courses Cloud Computing Courses Edge Computing Courses IoT security Courses Fog Computing Courses

Course Description

Overview

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Explore the world of Intrusion Detection Systems (IDS) in this comprehensive conference talk from the Toronto Machine Learning Series. Gain valuable insights into the techniques used by IDS, including both AI/Machine Learning and non-machine learning approaches, for identifying intrusions and malicious behaviors in systems. Discover how edge computing, edge analytics, and fog computing can be leveraged for security analytics at the edge for IoT devices. Learn about the application of big data and cloud technologies in security analytics at scale for both IoT and enterprise security. Led by Abdul Rahman Sattar, Lead Architect in Cybersecurity Analytics at Telus, this 1 hour and 35-minute presentation offers a thorough overview of IDS and their role in modern cybersecurity landscapes.

Syllabus

Intrusion Detection Systems - An Overview


Taught by

Toronto Machine Learning Series (TMLS)

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