Flow cytometry is a technology for assaying labelled cells suspended in fluid and passed through a detector. The labels are usually fluorescent and used for counting and sorting the cells in a signal ...
Abstract: Network Intrusion Detection Systems (NIDSs) using pattern matching have a fatal weakness in that they cannot detect new attacks because they only learn existing patterns and use them to ...
Abstract: This work presents Reliable-NIDS (R-NIDS), a novel methodology for Machine Learning (ML) based Network Intrusion Detection Systems (NIDSs) that allows ML models to work on integrated ...