Predictive Analytics for Cybersecurity E-Learning

Order this unique E-Learning Predictive Analytics for Cybersecurity online, 1 year 24/7 access to rich interactive videos, speech, progress monitoring through reports and tests per chapter to directly test the knowledge.

Course content

Predictive Analytics: Case Studies for Cybersecurity

Course: 1 Hour, 24 Minutes

• Course Overview
• The Need for AI in Cybersecurity
• Uses and Limitations of AI in Cybersecurity
• Classification Models for Cybersecurity
• Precision, Recall, ROC Curve, and AUC Metric
• Gas Pipeline Intrusion Detection Case Study
• Gas Pipeline Intrusion Detection Case Study Findings
• Malware Detection Case Study
• Malware Detection Case Study Findings
• Course Summary

Predictive Analytics: Identifying Network Attacks

Course: 2 Hours, 4 Minutes

• Course Overview
• Creating an Azure Machine Learning Workspace
• Importing Data on Network Cyberattacks
• Creating a Data Column for Cyberattack Type
• Viewing and Testing Network Cyberattack Data
• Visualizing Network Cyberattack Data
• Predicting Cyberattacks
• Setting Up Cyberattack Data for Machine Learning
• Performing One-hot Encoding on Cyberattack Data
• Viewing Cyberattack Prediction Model Performance
• Predicting Cyberattacks with Feature Selection
• Using a Chi-square Test for Feature Selection
• Setting Up Data for Cyberattack Type Classification
• Training the Cyberattack Type Classification Model
• Testing an Overfit Cyberattack Classification Model
• Performing Classification Model Feature Selection
• Selecting Features Using the Chi-square Test
• Course Summary