Open Access Original Research

Artificial Neural Network-Based Intelligent Framework for Multiclass Network Intrusion Detection in Modern Cybersecurity Systems

Received: 12 March 2026;  Published: 01 July 2026;  doi: 10.21926/rpse.2603014

Abstract

The advent of cloud computing, the Internet of Things (IoT), and digital services has led to an increase in the number and complexity of cyberattacks. The intrusion detection methods currently used, based on machine learning and artificial intelligence, include SVM, random forest, deep learning, convolutional neural networks, and LSTM. These [...]