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 ...

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 ...

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

AI is transforming incident response from a reactive scramble to a proactive force, sniffing out threats, decoding chaos, and ...

Therefore, in this paper, an efficient intrusion detection method based on federated semi-supervised learning is proposed to improve the efficiency of AMI network intrusion detection and reduce ...

This repository contains a machine learning project for detecting fake news. The goal is to develop a system capable of classifying news articles as real or fake using natural language processing (NLP ...

Abstract: Continuous improvement of machine learning ... for intrusion security detection in the industrial Internet of Things (IoT). The intrusion security detection system based on LightGBM feature ...

Developers can now use Pydantic's mcp-run-python server, distributed via JSR, to allow AI agents to execute Python code with ...