TgraphSpot: Fast and Effective Anomaly Detection for Time-Evolving Graphs. - Mirela T. Cazzolato; Saranya Vijayakumar; Xinyi Zheng; Namyong Park; Meng-Chieh Lee; Pedro Fidalgo; Bruno Lages; Agma J. M. Traina; Christos Faloutsos (IEEE Big Data, 2022)

Star-Bridge: a topological multidimensional subgraph analysis to detect fraudulent nodes and rings in telecom networks. - Pedro Fidalgo; Rui J. Lopes; Christos Faloutsos (IEEE Big Data, 2022)

A federated machine learning approach to detect international revenue share fraud on the 5G edge. - Luís Ferreira 002; Leopoldo Silva; Diana Pinho; Francisco Morais; Carlos Manuel Martins; Pedro Miguel Pires; Pedro Fidalgo; Helena Rodrigues 001; Paulo Cortez 001; André Luiz Pilastri (SAC, 2022)

TgrApp: Anomaly Detection and Visualization of Large-Scale Call Graphs. - Mirela T. Cazzolato; Saranya Vijayakumar; Xinyi Zheng; Namyong Park; Meng-Chieh Lee; Duen Horng Chau; Pedro Fidalgo; Bruno Lages; Agma J. M. Traina; Christos Faloutsos (AAAI, 2023)

CallMine: Fraud Detection and Visualization of Million-Scale Call Graphs. - Mirela Teixeira Cazzolato; Saranya Vijayakumar; Meng-Chieh Lee; Catalina Vajiac; Namyong Park; Pedro Fidalgo; Agma J. M. Traina; Christos Faloutsos (CIKM, 2023)

Piracy detection in online soccer streaming with video content inspection: an application to the Portuguese market. - Diogo Pontes; Claudino Costa; Ricardo Gomes Faria; Pedro Fidalgo; José Henrique Brito (IWSSIP, 2023)

MONDEO-Tactics5G: Multistage botnet detection and tactics for 5G/6G networks. - Bruno Sousa; Duarte M. Dias; Nuno Antunes; Javier Cámara 001; Ryan Wagner; Bradley R. Schmerl; David Garlan; Pedro Fidalgo (Comput. Secur., 2024)