The research of Intrusion Detection Systems is known to be among the most challenging aspects of Cloud Security. In the context of the cloud, security breaches such as denial of service, scanning, ...

Cyber threats are evolving quickly, making traditional intrusion detection systems (IDS) less efficient at detecting and responding to new attack vectors. Cyber attackers constantly change their ...

Machine Learning-based Intrusion Detection System using CIC-IDS 2017 dataset with feature selection, model optimization, and attack classification. Modern cyber threats are becoming more complex, ...

This repository presents a Bachelor's degree project in Computer Engineering, developed by Ivo Bispo and José Areia. The project focuses on creating a robust Machine Learning-Based Intrusion Detection ...

“As modern vehicles become more connected to external networks, the attack surface of the CAN bus system grows drastically. To secure the CAN bus from advanced intrusion attacks, we propose a ...

To overcome these challenges, the researchers implemented a deep learning-based NIDS using a convolutional neural network ...