Intrusion Detection Systems - An Overview
Offered By: Toronto Machine Learning Series (TMLS) via YouTube
Course Description
Overview
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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