The controller which is considered as the brain of SDN architecture can be taken as the prime target by attackers in order to attack the entire network. Therefore, in order to provide a robust ...

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, ...

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, ...

The virtualized architecture was established using Oracle VirtualBox. Three machines were set up: Attacking Machine (Kali Linux): This machine was used to simulate attacks. Victim Machine (Windows 10) ...

In performance tests, RANK achieved a dramatic 99.56% reduction in alerts requiring human review using the DARPA TC dataset, and a 95% reduction on real enterprise datasets. These results underscore ...

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