Anomaly detection using the correlational paraconsistent machine with digital signatures of network segment

This  study presents the correlational paraconsistent machine (CPM), a
tool  for anomaly detection that incorporates unsupervised models for
traffic characterization and principles of paraconsistency,  to inspect
irregularities  at the network traffic flow level.