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Advancing DDoS Attack Detection: A Synergistic Approach Using Deep Residual Neural Networks and Synthetic Oversampling
In this work, we introduce an enhanced approach for DDoS attack detection by leveraging the capabilities of Deep Residual Neural Networks (ResNets) coupled with synthetic oversampling techniques.
Enhancing ML-Based DoS Attack Detection Through Combinatorial Fusion Analysis
Mitigating Denial-of-Service (DoS) attacks is vital for online service security and availability.
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