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  • Published Subscription Review Article

    Real-time DDoS Attack Prediction in SDN Environments Using Machine Learning

    Abstract: The ever-growing reliance on sdn-based services necessitates robust security measures against Distributed Denial-of-Service (DDoS) attacks that threaten service availability. This project investigates the development of a real-time prediction system for DDoS attacks in sdn environments, leveraging the power of machine learning. The proposed system employs a Decision Tree classification algorithm implemented in Python. To ensure accurate attack identification, the system meticulously addresses data preprocessing challenges inherent in network traffic datasets. …

    Published in Journal Of Network security · Vol. 13, Issue 1, 2025 · pp. 16–27 Read article

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