2 papers
cs.LG2026
Evaluating Temporal and Structural Anomaly Detection Paradigms for DDoS Traffic
Yasmin Souza Lima, Rodrigo Moreira, Larissa F. Rodrigues Moreira +2
Unsupervised anomaly detection is widely used to detect Distributed Denial-of-Service (DDoS) attacks in cloud-native 5G networks, yet most studies assume a fixed traffic representa…
cs.DC2026
Data Augmentation and Convolutional Network Architecture Influence on Distributed Learning
Victor Forattini Jansen, Emanuel Teixeira Martins, Yasmin Souza Lima +3
Convolutional Neural Networks (CNNs) have proven to be highly effective in solving a broad spectrum of computer vision tasks, such as classification, identification, and segmentati…