Session

ML Applications in Cyber Security: Network Anomaly Detection with Machine Learning

In this session, I will be discussing the application of machine learning techniques to detect network anomalies in cyber security. We will explore how we can leverage machine learning to analyze network traffic data and identify anomalous behavior that may indicate a potential cyber attack. I will walk you through different machine learning models and algorithms used for network anomaly detection, and highlight the advantages and limitations of this approach. This session is perfect for data scientists, cyber security professionals, and anyone interested in leveraging machine learning to improve network security.

Adeoluwa Agbakosi

Founder - LearnDev Foundation

Lagos, Nigeria

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