We have dealt extensively with IDS in Chapter 5, Network Anomaly Detection with AI, where we learned about the delicate role played by these devices in a context like the current one, characterized by a growing explosion of malware threats spread through network attacks.
It is therefore necessary to introduce tools capable of promptly detecting possible malware threats, preventing them from spreading across the entire corporate network, and thereby compromising both the software and the integrity of the data (just think, for example, of the growing diffusion of ransomware attacks).
In order to be able to promptly and effectively carry out—that is, reduce—the number of false positives, it is therefore necessary to equip IDS systems with automated procedures capable of adequately classifying the traffic analyzed. It is no coincidence, therefore...
