AI & ML Techniques for Cyber Security

13 lectures

Applications of machine learning to threat detection, security telemetry, defender frameworks, and adversarial robustness.

01Lecture 01 · Data Science and ML Foundations

02Lecture 02 · Cybersecurity Defender Frameworks — NIST CSF, ATT&CK Mapping, and Security Operations

03Lecture 03 · Introduction to Cybersecurity — Core Concepts and Definitions

04Lecture 04 · Cybersecurity Frameworks and Attack Modeling

05Lecture 05 · Feature Engineering and ML Algorithm Foundations for Cybersecurity

06Lecture 06 · ML Algorithm Selection for Security Applications

07Lecture 07 · Supervised Learning and Machine Learning for Anomaly Detection in Cybersecurity

08Lecture 08 · Malware Detection and Classification

09Lecture 09 · Network Intrusion Detection and Classification

10Lecture 10 · Machine Learning Approaches for Network Intrusion Detection

11Lecture 11 · Domain Generation Algorithms and DNS-Based Threat Detection

12Lecture 12 · Network Traffic Profiling and Encrypted Traffic Analysis

13Lecture 13 · ML for Traffic Classification and Encrypted Traffic Analysis

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