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

<p dir="ltr">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 in...

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Bibliographic Details
Main Author: Naveed Ahmed (2433958) (author)
Other Authors: Asri bin Ngadi (17541960) (author), Johan Mohamad Sharif (17541963) (author), Saddam Hussain (3144783) (author), Mueen Uddin (4903510) (author), Muhammad Siraj Rathore (17541966) (author), Jawaid Iqbal (17541333) (author), Maha Abdelhaq (735574) (author), Raed Alsaqour (735575) (author), Syed Sajid Ullah (17541507) (author), Fatima Tul Zuhra (17541969) (author)
Published: 2022
Subjects:
Information and computing sciences
Cybersecurity and privacy
Distributed computing and systems software
Machine learning
software defined network
intrusion detection systems
machine learning
deep learning
security attacks
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