What is one of the techniques utilized for port matching in the Core Service Detector?

The Core Service Detector uses Machine Learning Process Matching as a technique for port matching. This approach leverages machine learning algorithms to analyze and identify patterns within process behaviors and their associated network communications. By learning from a wide range of process data, the detector can more accurately correlate services with their respective ports, enhancing the identification of network traffic and improving security monitoring.

Machine learning allows the system to adapt and improve over time, as it can incorporate new data and refine its understanding of how various services operate on the network. This technique goes beyond traditional methods by considering a broader set of characteristics and trends, which helps in more reliably matching processes with the correct ports they utilize.