Towards Data-Driven Network Intrusion Detection Systems: Features Dimensionality Reduction and Machine Learning

Cyberattacks have increased in tandem with the exponential expansion of computer networks and network applications throughout the world. In this study, we evaluate and compare four features selection methods, seven classical machine learning algorithms, and the deep learning algorithm on one million... View More