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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التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Naveed Ahmed (2433958) (author)
مؤلفون آخرون:	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)
منشور في:	2022
الموضوعات:	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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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

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