FlowGAN - Synthetic Network Flow Generation using Generative Adversarial Networks. - Liam Daly Manocchio; Siamak Layeghy; Marius Portmann (CSE, 2021)

Network Intrusion Detection System in a Light Bulb. - Liam Daly Manocchio; Siamak Layeghy; Marius Portmann (ITNAC, 2022)

A configurable anonymisation approach for network flow data: Balancing utility and privacy. - Liam Daly Manocchio; Siamak Layeghy; David Gwynne; Marius Portmann (Comput. Electr. Eng., 2024)

P4-NIDS: High-Performance Network Monitoring and Intrusion Detection in P4. - Yaying Chen; Siamak Layeghy; Liam Daly Manocchio; Marius Portmann (CoRR, 2024)

FlowTransformer: A transformer framework for flow-based network intrusion detection systems. - Liam Daly Manocchio; Siamak Layeghy; Wai Weng Lo; Gayan K. Kulatilleke; Mohanad Sarhan; Marius Portmann (Expert Syst. Appl., 2024)

FlowTransformer: A flexible python framework for flow-based network data analysis. - Liam Daly Manocchio; Siamak Layeghy; Marius Portmann (Softw. Impacts, 2024)

An empirical evaluation of preprocessing methods for machine learning based network intrusion detection systems. - Liam Daly Manocchio; Siamak Layeghy; Marcus Gallagher; Marius Portmann (Eng. Appl. Artif. Intell., 2025)

P4-Secure: In-Band DDoS Detection in Software Defined Networks. - Liam Daly Manocchio; Yaying Chen; Siamak Layeghy; David Gwynne; Marius Portmann (IEEE Trans. Netw. Serv. Manag., 2025)