SparseIDS: Learning Packet Sampling with Reinforcement Learning. - Maximilian Bachl; Fares Meghdouri; Joachim Fabini; Tanja Zseby (CNS, 2020)

EagerNet: Early Predictions of Neural Networks for Computationally Efficient Intrusion Detection. - Fares Meghdouri; Maximilian Bachl; Tanja Zseby (CSNet, 2020)

Cross-Layer Profiling of Encrypted Network Data for Anomaly Detection. - Fares Meghdouri; Félix Iglesias Vázquez; Tanja Zseby (DSAA, 2020)

Anomaly Detection for Mixed Packet Sequences. - Fares Meghdouri; Félix Iglesias Vázquez; Tanja Zseby (LCN Symposium, 2020)

SecTULab: A Moodle-Integrated Secure Remote Access Architecture for Cyber Security Laboratories. - Joachim Fabini; Alexander Hartl; Fares Meghdouri; Claudia Breitenfellner; Tanja Zseby (ARES, 2021)

Shedding Light in the Tunnel: Counting Flows in Encrypted Network Traffic. - Fares Meghdouri; Félix Iglesias Vázquez; Tanja Zseby (ICDM (Workshops), 2021)

Modeling data with observers. - Fares Meghdouri; Félix Iglesias Vázquez; Tanja Zseby (Intell. Data Anal., 2022)