Network Threat Detection Using Machine/Deep Learning in SDN-Based Platforms: A Comprehensive Analysis of State-of-the-Art Solutions, Discussion, Challenges, and Future Research Direction

Network Threat Detection Using Machine/Deep Learning in SDN-Based Platforms: A Comprehensive Analysis of State-of-the-Art Solutions, Discussion, Challenges, and Future Research Direction

A revolution in network technology has been ushered in by software defined networking (SDN), which makes it possible to control the network from a central location and provides an overview of the network’s security. Despite this, SDN has a single point of failure that increases the risk of potential...

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Bibliographic Details
Main Authors: Naveed Ahmed, Asri bin Ngadi, Johan Mohamad Sharif, Saddam Hussain, Mueen Uddin, Muhammad Siraj Rathore, Jawaid Iqbal, Maha Abdelhaq, Raed Alsaqour, Syed Sajid Ullah, Fatima Tul Zuhra
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Sensors
Subjects:
software defined network
intrusion detection systems
machine learning
deep learning
security attacks
Online Access:https://www.mdpi.com/1424-8220/22/20/7896

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