Oct 25, 2024 · The framework is designed to leverage 5G telemetry data for predicting. DDoS attacks using a CNN approach. Our architecture for. DDoS attack ...

Sep 1, 2024 · DDoS Attacks. Conference Paper. 5GDAD: A Deep Learning Approach for DDoS Attack Detection in 5G P4-based UPF. July 2024. DOI:10.1109/HPSR62440 ...

5GDAD: A Deep Learning Approach for DDoS Attack Detection in 5G P4-based UPF ... detection method for performing live deep learning analysis on network ...

Jul 24, 2024 · New paper presented today at IEEE #HPSR 2024 conference: "5GDAD: A Deep Learning Approach for DDoS Attack Detection in 5G P4-Based UPF"

5GDAD: A Deep Learning Approach for DDoS Attack Detection in 5G P4-Based UPF. Rana Abu Bakar, Faris Alhamed and Piero Castoldi (Scuola Superiore Sant'Anna ...

5GDAD: A Deep Learning Approach for DDoS. Attack Detection in 5G P4-based UPF, IEEE International Conference on High Performance Switching and Routing (HPSR ...

5GDAD: A Deep Learning Approach for DDoS Attack Detection in 5G P4-based UPF ... P4 FANET In-band Telemetry (FINT) for AI-assisted wireless link failure ...

5GDAD: A Deep Learning Approach for DDoS Attack Detection in 5G P4-based UPF. ... P4-based Telemetry Processing for Fast Soft Failure Recovery in Packet ...

An effective mechanism to mitigate real-time DDoS attack · An intelligent agent-based detection system for DDoS attacks using automatic feature extraction and ...

They conducted a comparative analysis of DDoS attack detection accuracy based on SVM/RF/KNN models, achieving accuracy levels exceeding 98%. ... Generative-AI ...