Dynamic Network Intrusion Detection System in Software-Defined Networking
Key: GWK+23
Author: Pegah Golchin, Jannis Weil, Ralf Kundel, Ralf Steinmetz
Date: August 2023
Kind: In proceedings
Abstract: Software-Defined Networking (SDN) enhances network management by separating control and data plane functionalities, but the centralized control plane increases the risk of cyber attacks. Therefore, detecting network intrusions, including unknown (zero-day) attacks, is crucial. Machine learning models may be a promising solution, but often lack adaptability due to their reliance on fixed datasets during training. This study investigates corresponding challenges and outlines the potential of employing online learning methods.
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