Machine Learning in Cybersecurity
It's recommended to open Jupyter notebooks in Google Colabоratory.
Acquaintance with the Stanford 2019 AI Index Report
https://colab.research.google.com/github/fisher85/ml-cybersecurity/blob/master/ai-index-report-2019-research/cybersecurity_startups.ipynb
https://colab.research.google.com/github/fisher85/ml-cybersecurity/blob/master/python-logistic-regression-fraud-detection/python-logistic-regression-fraud-detection.ipynb
WAF (Web Application Firewall) Poisoning
https://colab.research.google.com/github/fisher85/ml-cybersecurity/blob/master/python-waf/machine-learning-waf.ipynb
Intrusion Detection Sytem
Classifier comparison: https://colab.research.google.com/github/fisher85/ml-cybersecurity/blob/master/python-web-attack-detection/classifier-comparison.ipynb
Web attack detection: https://colab.research.google.com/github/fisher85/ml-cybersecurity/blob/master/python-web-attack-detection/web-attack-detection.ipynb