Work

Addressing Modern Cybersecurity Challenges: A Hybrid Machine Learning and Deep Learning Approach for Network Intrusion Detection

Year: 2025

Type: article

Abstract: The rapid increase in the number of Internet of Things (IoT) devices, coupled with a rise in sophisticated cyberattacks, demands robust intrusion detection systems. This study presents a holistic, intelligent intrusion detect... | Find, read and cite all the research you need on Tech Science Press

Source: Computers, materials & continua/Computers, materials & continua (Print)

DOI: 10.32604/cmc.2025.065031

Authors: Khadija Bouzaachane, El Mahdi El Guarmah, Abdullah M. Alnajim, Sheroz Khan

Institutions: Cadi Ayyad University, Qassim University, Onaizah Colleges

Language: English

Topic: Network Security and Intrusion Detection

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

Funders: Qassim University, Université Cadi Ayyad

OpenAlex ID: W4411159859