awesome-ml-for-cybersecurity
github.com/r3p3r/awesome-ml-for-cybersecurity ↗Machine Learning for Cyber Security
2
GitHub Stars
109
Curated Resources
7
Categories
1 hour ago
Last Refreshed
↑ Datasets↑ Papers↑ Books↑ Talks↑ Tutorials↑ Courses↑ Miscellaneous
Use this list with your AI agent
Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:
"Show me ↑ datasets resources from awesome-ml-for-cybersecurity"
Installation instructions →What's inside
↑ Datasets
↑ Talks
↑ Papers
- Adversarial support vector machine learning
- Anagram – A Content Anomaly Detector Resistant to Mimicry Attacks
- Anomalous Payload-Based Network Intrusion Detection
- Applications of Machine Learning in Cyber Security
- Automatically Evading Classifiers A Case Study on PDF Malware Classifiers
- CAMP – Content Agnostic Malware Protection
↑ Miscellaneous
↑ Tutorials
- A Machine-Learning Toolkit for Large-scale eCrime Forensics
- Analyzing BotNets with Suricata & Machine Learning
- An Introduction to Machine Learning for Cybersecurity and Threat Hunting
- Applying Machine Learning to Improve Your Intrusion Detection System
- Big Data and Data Science for Security and Fraud Detection
- Click Security Data Hacking Project
↑ Books
- Data Mining and Machine Learning in Cybersecurity
- Introduction To Artificial Intelligence For Security Professionals
- Machine Learning and Data Mining for Computer Security
- Machine Learning and Security: Protecting Systems with Data and Algorithms
- Network Anomaly Detection: A Machine Learning Perspective
Showing a sample of 109 resources. View the full list on GitHub →