Unauthorized activity on a network can be a nightmare for any business. Protecting customers' data is the ultimate concern, and is the responsibility of every business owner. Deploying intrusion detection systems is a wise decision modern organizations can make to defend against malicious intrusions. Unfortunately, attackers and black hat hackers are always inventing new techniques to bypass protection, in order to gain unauthorized access to networks. That is why machine learning techniques are a good solution to protect networks from even sophisticated and attacks.
This chapter will be a one-stop guide for discovering network anomalies and learning how to build intrusion detection systems from scratch, using publicly available datasets and cutting-edge, open source Python data science libraries.
In this chapter, we will cover...
