New Machine Learning Findings from Faculty of Information Technology Described ( Enhancing DDoS Attack Detection and Mitigation in SDN Using an Ensemble Online M achine Learning Model)

Robotics & Machine Learning Daily News2024，Issue(MAY.20) ：1-2.

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New Machine Learning Findings from Faculty of Information Technology Described ( Enhancing DDoS Attack Detection and Mitigation in SDN Using an Ensemble Online M achine Learning Model)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on artificial intell igence are discussed in a new report. According to news reporting from the Facul ty of Information Technology by NewsRx journalists, research stated, “Software D efined Networks (SDN) offer dynamic reconfigurability and scalability, revolutio nizing traditional networking. However, countering Distributed Denial of Service (DDoS) attacks remains a formidable challenge for both traditional and SDN-base d networks.”

Key words

Faculty of Information Technology/Cyber security/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024

Robotics & Machine Learning Daily News

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