In the ever-evolving landscape of cybersecurity, intrusion detection systems (IDS) play a critical role in identifying and mitigating malicious activities within network environments. Traditional IDS ...

Make-a-Thon Real Time Intrusion Detection using Deep Learning Techniques. With the rapid expansion of the internet and increasing dependency on networked systems, network security has become a ...

Intrusion Detection System (IDS) implemented using Machine Learning techniques. This repository contains the code, datasets (if applicable), and documentation for detecting network intrusions. - sa ...

Research from all publishers Recent studies have demonstrated a paradigm shift in engineering diagram analysis through the adoption of deep learning methodologies.

A technical paper titled “CANShield: Deep Learning-Based Intrusion Detection Framework for Controller Area Networks at the Signal-Level” was published by researchers at Virginia Tech and others. “As ...