Book Content
chapters • 10h36m total length
1. Basics of Machine Learning in Cyber Security
2. Time series analysis and Ensemble modelling
3. Segregating legitimate and lousy URLs
4. Knocking down captchas
5. Using Data Science to catch email frauds and spams
6. Efficient Network Anomaly detection using K Means
7. Decision Tree and context based malicious event detection
8. Catching impersonators and hackers red handed
9. Change the game with Tensorflow
10. Financial frauds and how deep learning can mitigate them
11. Practical Case Studies in Cyber Security
