Advanced Malware & Network Anomaly Detection
Issued by: John Hopkins University
Instructor: Lanier Watkins
Length: 11 Hours
Grade: 90.11%
Date: 01/07/2025
Credential: Certificate #LVPO3LTXTNFI
Skills:
- Cyber Threat Hunting
- Microsoft Windows
- Anomaly Detection
- Machine Learning Methods
- Intrusion Detection & Prevention
- System Design & Implementation
- Performance Testing
- Machine Learning Algorithms
- Network Security & Analysis
- Artificial Intelligence
- Malware Protection
- Machine Learning Software
- Supervised Learning
Class Details:
Intermediate Level
4 Modules, 9 Assignments
- Understand various types of malware & apply foundational analysis techniques to effectively detect & classify them.
- Implement advanced machine learning algorithms, including clustering & decision trees, for efficient malware detection.
- Explore anomaly detection techniques using botnet data & learn how to analyze network traffic for unusual patterns.
- Collaborate & present research findings on current trends in network anomaly detection, enhancing communication & analytical skills.