June 2018
Intermediate to advanced
276 pages
6h 26m
English
In this chapter, we explored the fundamentals of network anomaly detection techniques, and the theories behind them. You learned how to build a machine learning based network anomaly detector with Python. There are many other techniques that you can use to build a machine learning IDS. The next chapter will enhance your skills by guiding you through deploying a fully-working threat hunting platform, using an amazing stack for open source projects called the ELK stack.
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