In this tutorial, we will guide you through the process of creating an intrusion prevention system (IPS) using open-source technologies and machine learning. By leveraging machine learning algorithms, your IPS can recognize anomalies in network traffic and potentially detect and prevent security threats. We will use the open-source tools Zeek (formerly Bro), Elasticsearch, Logstash, Kibana (ELK Stack), and the machine learning library Scikit-learn.
Of course, since creation of such system is a very complex matter, these are generalized instructions, but using them will enable you to build this concept further and create a fully usable system ready for use in production. It is important however that you already possess enough knowledge on topics of system administration, networking and of course machine learning which is what this subject is all about.
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