ATLANTA — A Georgia lawmaker has introduced a bill that would require all schools across the state to install weapons detection systems. “A weapon detection ...

Abstract: Real-time Network Intrusion Detection System (NIDS) that combines deep learning and machine learning techniques to identify cyber threats as they occur. Using the NSL-KDD dataset as a ...

This document specifies a machine learning system for network intrusion detection that implements both supervised classification and unsupervised anomaly detection methodologies. The unsupervised ...

This project implements an Intrusion Detection System using machine learning algorithms to detect malicious network activities. It analyzes network traffic patterns, packet headers, and flow data to ...

ABSTRACT: The accelerating sophistication of cyberattacks poses unprecedented challenges for national security, critical infrastructures, and global digital resilience. Traditional signature-based ...

Learn how Network in Network (NiN) architectures work and how to implement them using PyTorch. This tutorial covers the concept, benefits, and step-by-step coding examples to help you build better ...

Intrusion detection systems (IDS) and anomaly detection techniques are critical components of modern cybersecurity, enabling the identification of malicious activities and system irregularities in ...

Abstract: As cloud technologies are used more frequently, network intrusion detection systems are becoming increasingly well-liked. Due to ever-increasing network traffic and the regular emergence of ...