most citedAdvancing DDoS Attack Detection: A Synergistic Approach Using Deep Residual Neural Networks and Synthetic Oversampling

7 citations · 7 across the 1 of their papers we have counts for

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1 paper

cs.CR2024★ 7 cited

Advancing DDoS Attack Detection: A Synergistic Approach Using Deep Residual Neural Networks and Synthetic Oversampling

Ali Alfatemi, Mohamed Rahouti, Ruhul Amin +3

Distributed Denial of Service (DDoS) attacks pose a significant threat to the stability and reliability of online systems. Effective and early detection of such attacks is pivotal…