Godson Samwel

Comparative Evaluation of LSTM, BiLSTM, CNN-LSTM, Random Forest, and XGBoost for Detection of Distributed Denial of Service (DDoS) Attacks Using the CICDDoS2019 Dataset

Distributed Denial of Service (DDoS) attacks continue to pose a severe and escalating threat to networked digital infrastructure, with global attack volumes rising by over 53% in 2024 alone. While machine learning approaches have demonstrated improved detection performance over traditional rule-based systems, many exis...