16 papers
An Intelligent eUPF for Time-Sensitive Path Selection in B5G Edge Networks
Rodrigo Moreira, Larissa Ferreira Rodrigues Moreira, Tereza Cristina Carvalho +1
In Beyond 5G (B5G) networks, intelligent, flexible traffic management is essential to meet the stringent speed and reliability requirements of new applications. This paper presents…
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…
Asynchronous Probability Ensembling for Federated Disaster Detection
Emanuel Teixeira Martins, Rodrigo Moreira, Larissa Ferreira Rodrigues Moreira +3
Quick and accurate emergency handling in Disaster Decision Support Systems (DDSS) is often hampered by network latency and suboptimal application accuracy. While Federated Learning…
Causal Inference for Quantifying Noisy Neighbor Effects in Multi-Tenant Cloud Environments
Philipe S. Schiavo, João P. S. Milanezi, Moisés R. N. Ribeiro +6
Resource sharing in multi-tenant cloud environments enables cost efficiency but introduces the Noisy Neighbor problem, i.e., co-located workloads that unpredictably degrade each ot…
Empowering Mobile Networks Security Resilience by using Post-Quantum Cryptography
Ricardo Alves Faval, Rodrigo Moreira, Flávio de Oliveira Silva
The transition to a cloud-native 5G Service-Based Architecture (SBA) improves scalability but exposes control-plane signaling to emerging quantum threats, including Harvest-Now, De…
TRACE: Traceroute-based Internet Route change Analysis with Ensemble Learning
Raul Suzuki, Rodrigo Moreira, Pedro Henrique A. Damaso de Melo +2
Detecting Internet routing instability is a critical yet challenging task, particularly when relying solely on endpoint active measurements. This study introduces TRACE, a MachineL…