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Key features:
Malware Analysis
Understanding Malware
Defining Malware Classification
Network Traffic Analysis
Theory of Network Defense
Access Control and Authentication
Intrusion Detection
Machine Learning and Network Security
From Capture to Features
Building a Predictive Model to Classify Network Attacks
Exploring the Data
Data Preparation
Protecting the Consumer Web
Monetizing the Consumer Web
Clustering Abuse
Scoring Cluster
Further Direction in Clustering
Production Systems
Defining Machine Learning System Maturity and Scalability
Monitoring and Alerting
Security and Reliability
Adversarial Machine Learning
Terminology
The Importance of Adversarial ML
Security Vulnerability in Machine Learning Algorithms
Defense Against Evasion Attack
