This project implements a Network Intrusion Detection System using unsupervised machine learning techniques like Isolation Forests and Autoencoders to detect anomalous patterns in network traffic.

Abstract: Cloud computing is an emerging choice among businesses all over the world since it provides flexible and world wide Web computer capabilities as a customizable service. Because of the ...

Abstract: Intrusion detection systems (IDS) monitor system logs and network traffic to recognize malicious activities in computer networks. Evaluating and comparing IDSs with respect to their ...

You will be redirected to our submission process. The rapid expansion of Internet of Things (IoT) deployments across healthcare, smart cities, industrial facilities, and consumer environments has ...

Intelligent novel resilient approach for intrusion detection system in software defined networks by Mulani, Zahirabbas Jainuddin Usage Attribution-NonCommercial-ShareAlike 4.0 International Topics ...

The latest Racer Report includes student, faculty, staff and alumni accomplishments, announcements, upcoming campus events and more for June 22-26.

The concern is compounded by the growing digitisation of nuclear plants and the increasing reliance on complex computer ...

Spread the love“`html Most users don’t think about their computer’s firewall until something goes wrong. Yet the Windows Firewall is a critical component of your system’s security. Understanding how ...

A practical review of explainable AI examines how transparency and interpretability improve trust in high-stakes applications. By introducing explainability frameworks, privacy-preserving methods, and ...

Two members of the 'Scattered Spider' cybercrime group pleaded guilty to hacking the Transport for London (TfL) systems in ...