Work

Enhancing Network Security: Leveraging Machine Learning for Integrated Protection and Intrusion Detection

Year: 2024

Type: article

Abstract: This study introduces an innovative hybrid approach that integrates deep learning with blockchain technology to improve cybersecurity, focusing on network intrusion detection systems (NIDS). The main goal is to overcome the s... | Find, read and cite all the research you need on Tech Science Press

Source: Intelligent Automation & Soft Computing

DOI: 10.32604/iasc.2024.058624

Authors: Nada Mohammed Murad, Adnan Yousif Dawod, Saadaldeen Rashid Ahmed, Ravi Sekhar, Pritesh Shah

Institutions: University of Kirkuk, Symbiosis International University, Ministry of Higher Education and Scientific Research, Al-Ayen Iraqi University, Bayan University

Language: English

Topic: Network Security and Intrusion Detection

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: hybrid

OpenAlex ID: W4405762793