Blockchain Shield Uses Smart Contracts to Block DDoS Attacks on Servers
A blockchain-based framework using Ethereum smart contracts and a CNN detector blocked 99.8% of simulated DDoS attacks on client–server networks ...
A blockchain-based framework using Ethereum smart contracts and a CNN detector blocked 99.8% of simulated DDoS attacks on client–server networks ...
A study of the CICIDS2017 DDoS capture shows node-degree graph features fail under NAT identity collapse while edge-weight concentration separates ...
Researchers report a lightweight, imbalance-aware intrusion detection system achieving up to 0.9998 accuracy on IoT and medical IoT benchmark datasets.
A systematic review of 120 papers finds deep learning DDoS detectors excel in experiments but struggle in real-world cloud environments, ...
A hybrid framework called NEAT-ID combines evolutionary feature selection, attention-enhanced Transformers and wavelet-based temporal encoding to detect DDoS attacks with ...
The choice of a hybrid CNN-LSTM architecture reflects the dual nature of network traffic analysis. Convolutional layers excel at extracting ...
A systematic review of 200 studies finds machine learning effective for detecting DDoS and ARP spoofing attacks on university networks, ...
An open-source simulation framework called DDoSimu5G generates precisely labeled DDoS attack datasets inside a simulated 5G network, giving machine-learning intrusion ...
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© 2025 Scienmag - Science Magazine