Hands-On Machine Learning for Cybersecurity

Summary

In this chapter, we have learned about the different stages of a network attack including the different phases and dealing with lateral movement in the network. We also learned about Windows event logs to detect network anomalies. We studied about ingesting AD data along with anomaly detection in a network with k-means.

This chapter concluded with choosing k for k-means, along with normalizing features and manual verification. In the next chapter, we will study decision trees and context-based malicious event detection.