The development of computer vision-based deep learning models for accurate two-
dimensional (2D) image classification has enabled us to surpass existing machine learning …

Cyber-attacks are increasing day to day in this world of AI and Internet. A ML model to detect
the network attack based on the network parameters is of great use. The proposed model …

The paper explores the application of machine learning algorithms for network traffic
intrusion detection with the aim of enhancing the security of information systems. More …

With advancements in information and virtualization technologies, the volume and growth of
security threats from cyber attacks targeting networked systems are increasing. Protecting …

Network security has become imperative in the context of our interconnected networks and
everyday communications. Recently, many deep learning models have been proposed to …

Denna studie undersöker användningen av maskininlärning (ML), särskilt artificiella neurala
nätverk (ANN), inom nätverksdetektering för att upptäcka och förebygga cyberattacker …

This project investigates the efficacy of machine learning algorithms, including Naive Bayes
(NB), NLP, and K-Nearest Neighbors (KNN), in the context of Intrusion Detection Systems …