Abstract: Machine learning has become an increasingly utilized approach for developing Network Intrusion Detection Systems (NIDS) for identifying anomalies associated with malicious network intrusions ...
Abstract: This article solves the convergence problem in the Parallel BK algorithm for large-scale flow networks. We introduce a merging method and a pseudo-Boolean representation-based invariance ...