This project implements a comprehensive, end-to-end machine learning pipeline for detecting network ... binary anomaly detection (Benign vs. Attack) and multi-class classification (identifying ...

This project is an Intrusion Detection System (IDS) using machine learning (ML) and deep learning (DL) to detect network intrusions. It leverages the CICIDS2018 dataset to classify traffic as normal ...

NDR solutions uncover hidden threats missed by legacy tools by analyzing encrypted traffic, lateral movement, and blind spots ...

A recent study introduces an advanced anomaly-based intrusion detection system (IDS) designed to address the increasing cyber threats targeting ...

To explore LLMs' effectiveness in detecting network threats, researchers emulated a wireless communication environment using ...

After uncovering a unifying algorithm that links more than 20 common machine-learning approaches, researchers organized them into a 'periodic table of machine learning' that can help scientists ...