Selective security for TLS. - Marius Portmann; Aruna Seneviratne (ICON, 2001)

The cost of peer discovery and searching in the Gnutella peer-to-peer file sharing protocol. - Marius Portmann; Pipat Sookavatana; Sebastien Ardon; Aruna Seneviratne (ICON, 2001)

The cost of application-level broadcast in a fully decentralized peer-to-peer network. - Marius Portmann; Aruna Seneviratne (ISCC, 2002)

Cost-effective broadcast for fully decentralized peer-to-peer networks. - Marius Portmann; Aruna Seneviratne (Comput. Commun., 2003)

MARCH: A distributed content adaptation architecture. - Sebastien Ardon; Per Gunningberg; Björn Landfeldt; Yuri Ismailov; Marius Portmann; Aruna Seneviratne (Int. J. Commun. Syst., 2003)

PROST: A Programmable Structured Peer-to-Peer Overlay Network. - Marius Portmann; Sebastien Ardon; Patrick Sénac; Aruna Seneviratne (Peer-to-Peer Computing, 2004)

Mitigating Routing Misbehav. - Marius Portmann; Sebastien Ardon; Aruna Seneviratne (SAINT Workshops, 2004)

A Programmable Structured Peer-to-Peer Overlay. - Marius Portmann; Sebastien Ardon; Patrick Sénac (IWAN, 2005)

Performance Comparison of Multi-Path AODV and DSR Protocols in Hybrid Mesh Networks. - Asad Amir Pirzada; Marius Portmann; Jadwiga Indulska (ICON, 2006)

Evaluation of multi-radio extensions to AODV for wireless mesh networks. - Asad Amir Pirzada; Marius Portmann; Jadwiga Indulska (MOBIWAC, 2006)

Context-Enhanced Authentication for Infrastructureless Network Environments. - Ryan Wishart; Jadwiga Indulska; Marius Portmann; Peter Sutton (UIC, 2006)

Hybrid Mesh Ad-Hoc On-Demand Distance Vector Routing Protocol. - Asad Amir Pirzada; Marius Portmann; Jadwiga Indulska (ACSC, 2007)

Multi-Linked AODV Routing Protocol for Wireless Mesh Networks. - Asad Amir Pirzada; Ryan Wishart; Marius Portmann (GLOBECOM, 2007)

Congestion Aware Routing in Hybrid Wireless Mesh Networks. - Asad Amir Pirzada; Ryan Wishart; Marius Portmann (ICON, 2007)

A Light-Weight Client Mobility Approach for Infrastructure Mesh Networks. - Ryan Wishart; Asad Amir Pirzada; Marius Portmann (ICON, 2007)

High Performance AODV Routing Protocol for Hybrid Wireless Mesh Networks. - Asad Amir Pirzada; Marius Portmann (MobiQuitous, 2007)

Challenges and recent advances in QoS provisioning in wireless mesh networks. - Shivanajay Marwaha; Jadwiga Indulska; Marius Portmann (CIT, 2008)

HOVER: hybrid on-demand distance vector routing for wireless mesh networks. - Stephan Mir; Asad Amir Pirzada; Marius Portmann (ACSC, 2008)

Context-aware routing in wireless mesh networks. - Peizhao Hu; Marius Portmann; Ricky Robinson; Jadwiga Indulska (CASEMANS, 2008)

A light-weight internet gateway discovery scheme for infrastructure mesh networks. - Ryan Wishart; Asad Amir Pirzada; Marius Portmann; Jadwiga Indulska (WiOpt, 2008)

Performance analysis of multi-radio AODV in hybrid wireless mesh networks. - Asad Amir Pirzada; Marius Portmann; Jadwiga Indulska (Comput. Commun., 2008)

Securing Wireless Mesh Networks. - Steve Glass; Marius Portmann; Vallipuram Muthukkumarasamy (IEEE Internet Comput., 2008)

Wireless Mesh Networks for Public Safety and Crisis Management Applications. - Marius Portmann; Asad Amir Pirzada (IEEE Internet Comput., 2008)

ALARM: An Adaptive Load-Aware Routing Metric for Hybrid Wireless Mesh Networks. - Asad Amir Pirzada; Ryan Wishart; Marius Portmann; Jadwiga Indulska (ACSC, 2009)

Detecting Man-in-the-Middle and Wormhole Attacks in Wireless Mesh Networks. - Stephen Mark Glass; Vallipuram Muthukkumarasamy; Marius Portmann (AINA, 2009)

A software-defined radio receiver for APCO project 25 signals. - Steve Glass; Vallipuram Muthukkumarasamy; Marius Portmann (IWCMC, 2009)

MeshVision: An Adaptive Wireless Mesh Network Video Surveillance System. - Peizhao Hu; Ryan Wishart; Jimmy Ti; Marius Portmann; Jadwiga Indulska (UIC, 2009)

AODV-HM: A Hybrid Mesh Ad-hoc On-demand Distance Vector Routing Protocol. - Asad Amir Pirzada; Marius Portmann; Jadwiga Indulska (J. Res. Pract. Inf. Technol., 2009)

SafeMesh: A wireless mesh network routing protocol for incident area communications. - Asad Amir Pirzada; Marius Portmann; Ryan Wishart; Jadwiga Indulska (Pervasive Mob. Comput., 2009)

The Insecurity of Time-of-Arrival Distance-Ranging in IEEE 802.11 Wireless Networks. - Steve Glass; Vallipuram Muthukkumarasamy; Marius Portmann (ICDCS Workshops, 2010)

Evaluation of commercial wireless mesh technologies in a public safety context: Methodology, analysis and experience. - Peizhao Hu; Konstanty Bialkowski; Wee Lum Tan; Marius Portmann (MASS, 2010)

Adaptive Wireless Mesh Networks Routing Protocols. - Saaidal Razalli Azzuhri; Marius Portmann; Wee Lum Tan (UIC/ATC Workshops, 2010)

Evaluating Adjacent Channel Interference in IEEE 802.11 Networks. - Wee Lum Tan; Konstanty Bialkowski; Marius Portmann (VTC Spring, 2010)

MeshVision: an adaptive wireless mesh network video surveillance system. - Peizhao Hu; Wee Lum Tan; Ryan Wishart; Marius Portmann; Jadwiga Indulska (Multim. Syst., 2010)

A Systematic Evaluation of Interference Characteristics in 802.11-Based Wireless Networks. - Wee Lum Tan; Marius Portmann; Peizhao Hu (AINA, 2011)

Analysis of link break detection using HELLO messages. - Zainab R. Zaidi; Marius Portmann; Wee Lum Tan (MSWiM, 2011)

Insecurity in Public-Safety Communications: APCO Project 25. - Stephen Mark Glass; Vallipuram Muthukkumarasamy; Marius Portmann; Matthew Robert (SecureComm, 2011)

A Process Algebra for Wireless Mesh Networks. - Ansgar Fehnker; Rob J. van Glabbeek; Peter Höfner; Annabelle McIver; Marius Portmann; Wee Lum Tan (ESOP, 2012)

Time-based and low-cost bandwidth estimation for IEEE 802.11 links. - Jonathan Guerin; Steve Glass; Peizhao Hu; Wee Lum Tan; Marius Portmann (IWCMC, 2012)

Robust MAC-layer rate control mechanism for 802.11 wireless networks. - Wei Yin 002; Peizhao Hu; Jadwiga Indulska; Marius Portmann; Jonathan Guerin (LCN, 2012)

A rigorous analysis of AODV and its variants. - Peter Höfner; Rob J. van Glabbeek; Wee Lum Tan; Marius Portmann; Annabelle McIver; Ansgar Fehnker (MSWiM, 2012)

Share your view: Wireless multi-hop video streaming using Android phones. - Peizhao Hu; Nick Symons; Jadwiga Indulska; Marius Portmann (PerCom Workshops, 2012)

Automated Analysis of AODV Using UPPAAL. - Ansgar Fehnker; Rob J. van Glabbeek; Peter Höfner; Annabelle McIver; Marius Portmann; Wee Lum Tan (TACAS, 2012)

SNR-Based Link Quality Estimation. - Wee Lum Tan; Peizhao Hu; Marius Portmann (VTC Spring, 2012)

Experimental evaluation of measurement-based SINR interference models. - Wee Lum Tan; Peizhao Hu; Marius Portmann (WOWMOM, 2012)

Stochastic Local Search Based Channel Assignment in Wireless Mesh Networks. - M. A. Hakim Newton; Duc Nghia Pham; Wee Lum Tan; Marius Portmann; Abdul Sattar 001 (CP, 2013)

Protocol for efficient opportunistic communication. - Ranjana Pathak; Peizhao Hu; Jadwiga Indulska; Marius Portmann (LCN, 2013)

A performance study of hybrid protocols for opportunistic communications. - Ranjana Pathak; Peizhao Hu; Jadwiga Indulska; Marius Portmann; Saaidal Azzuhri (LCN Workshops, 2013)

Sequence numbers do not guarantee loop freedom: AODV can yield routing loops. - Rob J. van Glabbeek; Peter Höfner; Wee Lum Tan; Marius Portmann (MSWiM, 2013)

Towards efficient opportunistic communications: A hybrid approach. - Ranjana Pathak; Peizhao Hu; Jadwiga Indulska; Marius Portmann; Wee Lum Tan (PerCom Workshops, 2013)

VoIP Spam Prevention. - Saeed Farooq Khan; Marius Portmann; Neil W. Bergmann (TrustCom/ISPA/IUCC, 2013)

Specification versus reality: Experimental evaluation of link capacity estimation in IEEE 802.11. - Steve Glass; Jonathan Guerin; Peizhao Hu; Marius Portmann; Wee Lum Tan (WCNC, 2013)

A Process Algebra for Wireless Mesh Networks used for Modelling, Verifying and Analysing AODV. - Ansgar Fehnker; Rob J. van Glabbeek; Peter Höfner; Annabelle McIver; Marius Portmann; Wee Lum Tan (CoRR, 2013)

Development of Collaborative Video Streaming for Mobile Networks: From Overview to Prototype. - Mingyang Zhong; Jadwiga Indulska; Peizhao Hu; Marius Portmann; Mohan J. Kumar (UIC/ATC/ScalCom, 2014)

Analytical model for approximating node throughputs in wireless mesh networks. - Konglit Hunchangsith; Marek E. Bialkowski; Marius Portmann; Wee Lum Tan (Int. J. Commun. Syst., 2014)

Editorial. - Claudio Bettini; Marco Gruteser; Christine Julien 001; Marius Portmann (Pervasive Mob. Comput., 2014)

Multi-Source-Destination Distributed Wireless Networks: Pareto-Efficient Dynamic Power Control Game With Rapid Convergence. - David B. Smith 001; Marius Portmann; Wee Lum Tan; Wayes Tushar (IEEE Trans. Veh. Technol., 2014)

Link capacity estimation in wireless software defined networks. - Farzaneh Pakzad; Marius Portmann; Jared Hayward (ITNAC, 2015)

The (in)security of Topology Discovery in Software Defined Networks. - Talal Alharbi 002; Marius Portmann; Farzaneh Pakzad (LCN, 2015)

Modelling and Analysis of AODV in UPPAAL. - Ansgar Fehnker; Rob J. van Glabbeek; Peter Höfner; Annabelle McIver; Marius Portmann; Wee Lum Tan (CoRR, 2015)

Link capacity estimation in SDN-based end-hosts. - Anees Al-Najjar; Farzaneh Pakzad; Siamak Layeghy; Marius Portmann (ICSPCS, 2016)

A system-level architecture for software-defined LTE networks. - Furqan Hameed Khan; Marius Portmann (ICSPCS, 2016)

SProxy ARP - efficient ARP handling in SDN. - Talal Alharbi 002; Marius Portmann (ITNAC, 2016)

SCOR: Constraint Programming-based Northbound Interface for SDN. - Siamak Layeghy; Farzaneh Pakzad; Marius Portmann (ITNAC, 2016)

Evaluation of Mininet-WiFi integration via ns-3. - Farzaneh Pakzad; Siamak Layeghy; Marius Portmann (ITNAC, 2016)

Securing ARP in Software Defined Networks. - Talal Alharbi 002; Dario Durando; Farzaneh Pakzad; Marius Portmann (LCN, 2016)

Pushing SDN to the end-host, network load balancing using OpenFlow. - Anees Al-Najjar; Siamak Layeghy; Marius Portmann (PerCom Workshops, 2016)

Efficient topology discovery in OpenFlow-based Software Defined Networks. - Farzaneh Pakzad; Marius Portmann; Wee Lum Tan; Jadwiga Indulska (Comput. Commun., 2016)

SCOR: Software-defined Constrained Optimal Routing Platform for SDN. - Siamak Layeghy; Farzaneh Pakzad; Marius Portmann (CoRR, 2016)

Modelling and verifying the AODV routing protocol. - Rob J. van Glabbeek; Peter Höfner; Marius Portmann; Wee Lum Tan (Distributed Comput., 2016)

An Efficient Hybrid MANET-DTN Routing Scheme for OLSR. - Saaidal Razalli Azzuhri; Harith Ahmad; Marius Portmann; Ismail Ahmedy; Ranjana Pathak (Wirel. Pers. Commun., 2016)

Backhaul, QoS, and channel-aware load balancing optimization in SDN-based LTE networks. - Furqan Hameed Khan; Marius Portmann (ICSPCS, 2017)

Flow-based load balancing of web traffic using OpenFlow. - Anees Al-Najjar; Samuel Teed; Jadwiga Indulska; Marius Portmann (ITNAC, 2017)

Experimental evaluation of the impact of DoS attacks in SDN. - Talal Alharbi 002; Siamak Layeghy; Marius Portmann (ITNAC, 2017)

Enhancing Quality of Experience of VoIP Traffic in SDN based End-hosts. - Anees Al-Najjar; Siamak Layeghy; Marius Portmann; Jadwiga Indulska (ITNAC, 2018)

Experimental Evaluation of LoRaWAN in NS-3. - Furqan Hameed Khan; Marius Portmann (ITNAC, 2018)

R2Lab Testbed Evaluation for Wireless Mesh Network Experiments. - Farzaneh Pakzad; Marius Portmann; Thierry Turletti; Thierry Parmentelat; Mohamed Naoufal Mahfoudi; Walid Dabbous (ITNAC, 2018)

MAC-Layer Rate Control for 802.11 Networks: Lesson Learned and Looking Forward. - Wei Yin 002; Peizhao Hu; Jadwiga Indulska; Marius Portmann; Ying Mao 001 (CoRR, 2018)

A Model for Reliable Uplink Transmissions in LoRaWAN. - Furqan Hameed Khan; Raja Jurdak; Marius Portmann (DCOSS, 2019)

The (In)Security of Virtualization in Software Defined Networks. - Talal Alharbi 002; Marius Portmann (IEEE Access, 2019)

Towards Energy Positive Sensing using Kinetic Energy Harvesters. - Muhammad Moid Sandhu; Kai Geissdoerfer; Sara Khalifa; Raja Jurdak; Marius Portmann; Brano Kusy (PerCom, 2020)

Towards Optimal Kinetic Energy Harvesting for the Batteryless IoT. - Muhammad Moid Sandhu; Kai Geissdoerfer; Sara Khalifa; Raja Jurdak; Marius Portmann; Brano Kusy (PerCom Workshops, 2020)

NetFlow Datasets for Machine Learning-Based Network Intrusion Detection Systems. - Mohanad Sarhan; Siamak Layeghy; Nour Moustafa; Marius Portmann (BDTA/WiCON, 2020)

Deep Learning-based Cattle Activity Classification Using Joint Time-frequency Data Representation. - Seyedeh Fa'ezeh Hosseini Noorbin; Siamak Layeghy; Brano Kusy; Raja Jurdak; Greg Bishop-Hurley; Marius Portmann (CoRR, 2020)

Network traffic control for multi-homed end-hosts via SDN. - Anees Al-Najjar; Furqan Hameed Khan; Marius Portmann (IET Commun., 2020)

Joint QoS-control and handover optimization in backhaul aware SDN-based LTE networks. - Furqan Hameed Khan; Marius Portmann (Wirel. Networks, 2020)

MAC-layer rate control for 802.11 networks: a survey. - Wei Yin 002; Peizhao Hu; Jadwiga Indulska; Marius Portmann; Ying Mao 001 (Wirel. Networks, 2020)

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

Learning-based Smart Sensing for Energy-Sustainable WSN. - Sushmita Ghosh; Swades De; Shouri Chatterjee; Marius Portmann (ICC, 2021)

Scaling Spectrogram Data Representation for Deep Learning on Edge TPU. - Seyedehfaezeh Hosseininoorbin; Siamak Layeghy; Brano Kusy; Raja Jurdak; Marius Portmann (PerCom Workshops, 2021)

SolAR: Energy Positive Human Activity Recognition using Solar Cells. - Muhammad Moid Sandhu; Sara Khalifa; Kai Geissdoerfer; Raja Jurdak; Marius Portmann (PerCom, 2021)

Deep learning-based cattle behaviour classification using joint time-frequency data representation. - Seyedehfaezeh Hosseininoorbin; Siamak Layeghy; Brano Kusy; Raja Jurdak; Greg Bishop-Hurley; Paul L. Greenwood; Marius Portmann (Comput. Electron. Agric., 2021)

Towards a Standard Feature Set of NIDS Datasets. - Mohanad Sarhan; Siamak Layeghy; Nour Moustafa; Marius Portmann (CoRR, 2021)

E-GraphSAGE: A Graph Neural Network based Intrusion Detection System. - Wai Weng Lo; Siamak Layeghy; Mohanad Sarhan; Marcus Gallagher; Marius Portmann (CoRR, 2021)

An Explainable Machine Learning-based Network Intrusion Detection System for Enabling Generalisability in Securing IoT Networks. - Mohanad Sarhan; Siamak Layeghy; Marius Portmann (CoRR, 2021)

Benchmarking the Benchmark - Analysis of Synthetic NIDS Datasets. - Siamak Layeghy; Marcus Gallagher; Marius Portmann (CoRR, 2021)

Feature Analysis for ML-based IIoT Intrusion Detection. - Mohanad Sarhan; Siamak Layeghy; Marius Portmann (CoRR, 2021)

Exploring Deep Neural Networks on Edge TPU. - Seyedehfaezeh Hosseininoorbin; Siamak Layeghy; Brano Kusy; Raja Jurdak; Marius Portmann (CoRR, 2021)

FDGATII : Fast Dynamic Graph Attention with Initial Residual and Identity Mapping. - Gayan K. Kulatilleke; Marius Portmann; Ryan K. L. Ko; Shekhar S. Chandra (CoRR, 2021)

Task Scheduling for Energy-Harvesting-Based IoT: A Survey and Critical Analysis. - Muhammad Moid Sandhu; Sara Khalifa; Raja Jurdak; Marius Portmann (IEEE Internet Things J., 2021)

P-SCOR: Integration of Constraint Programming Orchestration and Programmable Data Plane. - Andrea Melis 001; Siamak Layeghy; Davide Berardi; Marius Portmann; Marco Prandini; Franco Callegati (IEEE Trans. Netw. Serv. Manag., 2021)

FDGATII: Fast Dynamic Graph Attention with Initial Residual and Identity. - Gayan K. Kulatilleke; Marius Portmann; Ryan K. L. Ko; Shekhar S. Chandra (AI, 2022)

Graph Neural Network-based Android Malware Classification with Jumping Knowledge. - Wai Weng Lo; Siamak Layeghy; Mohanad Sarhan; Marcus Gallagher; Marius Portmann (DSC, 2022)

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

E-GraphSAGE: A Graph Neural Network based Intrusion Detection System for IoT. - Wai Weng Lo; Siamak Layeghy; Mohanad Sarhan; Marcus Gallagher; Marius Portmann (NOMS, 2022)

Evaluating Standard Feature Sets Towards Increased Generalisability and Explainability of ML-Based Network Intrusion Detection. - Mohanad Sarhan; Siamak Layeghy; Marius Portmann (Big Data Res., 2022)

HBFL: A hierarchical blockchain-based federated learning framework for collaborative IoT intrusion detection. - Mohanad Sarhan; Wai Weng Lo; Siamak Layeghy; Marius Portmann (Comput. Electr. Eng., 2022)

Inspection-L: Practical GNN-Based Money Laundering Detection System for Bitcoin. - Wai Weng Lo; Siamak Layeghy; Marius Portmann (CoRR, 2022)

On Generalisability of Machine Learning-based Network Intrusion Detection Systems. - Siamak Layeghy; Marius Portmann (CoRR, 2022)

XG-BoT: An Explainable Deep Graph Neural Network for Botnet Detection and Forensics. - Wai Weng Lo; Siamak Layeghy; Mohanad Sarhan; Marius Portmann (CoRR, 2022)

NBC-Softmax : Darkweb Author fingerprinting and migration tracking. - Gayan K. Kulatilleke; Shekhar S. Chandra; Marius Portmann (CoRR, 2022)

Anomal-E: A self-supervised network intrusion detection system based on graph neural networks. - Evan Caville; Wai Weng Lo; Siamak Layeghy; Marius Portmann (Knowl. Based Syst., 2022)

Towards a Standard Feature Set for Network Intrusion Detection System Datasets. - Mohanad Sarhan; Siamak Layeghy; Marius Portmann (Mob. Networks Appl., 2022)

Edge Intelligence Framework for Data-Driven Dynamic Priority Sensing and Transmission. - Sushmita Ghosh; Swades De; Shouri Chatterjee; Marius Portmann (IEEE Trans. Green Commun. Netw., 2022)

Local Reference-Free In-Field Calibration of Low-Cost Air Pollution Monitoring Sensors. - Sushmita Ghosh; Payali Das; Swades De; Shouri Chatterjee; Marius Portmann (IEEE Trans. Instrum. Meas., 2022)

DOC-NAD: A Hybrid Deep One-class Classifier for Network Anomaly Detection. - Mohanad Sarhan; Gayan K. Kulatilleke; Wai Weng Lo; Siamak Layeghy; Marius Portmann (CCGridW, 2023)

Energy Aware Smart Sensing and Implementation in Green Air Pollution Monitoring System. - Sushmita Ghosh; Payali Das; Shakthipriya Murugesh; Swades De; Shouri Chatterjee; Marius Portmann (ICC, 2023)

From zero-shot machine learning to zero-day attack detection. - Mohanad Sarhan; Siamak Layeghy; Marcus Gallagher; Marius Portmann (Int. J. Inf. Sec., 2023)

Cyber Threat Intelligence Sharing Scheme Based on Federated Learning for Network Intrusion Detection. - Mohanad Sarhan; Siamak Layeghy; Nour Moustafa; Marius Portmann (J. Netw. Syst. Manag., 2023)

DI-NIDS: Domain invariant network intrusion detection system. - Siamak Layeghy; Mahsa Baktashmotlagh; Marius Portmann (Knowl. Based Syst., 2023)

Explainable Cross-domain Evaluation of ML-based Network Intrusion Detection Systems. - Siamak Layeghy; Marius Portmann (Comput. Electr. Eng., 2023)

Light-Weight ML Aided Autonomous IoT Networks. - Sushmita Ghosh; Akash Kumar Mandal; Swades De; Shouri Chatterjee; Marius Portmann (IEEE Commun. Mag., 2023)

Exploring Edge TPU for deep feed-forward neural networks. - Seyedehfaezeh Hosseininoorbin; Siamak Layeghy; Brano Kusy; Raja Jurdak; Marius Portmann (Internet Things, 2023)

HARBIC: Human activity recognition using bi-stream convolutional neural network with dual joint time-frequency representation. - Seyedehfaezeh Hosseininoorbin; Siamak Layeghy; Brano Kusy; Raja Jurdak; Marius Portmann (Internet Things, 2023)

XG-BoT: An explainable deep graph neural network for botnet detection and forensics. - Wai Weng Lo; Gayan K. Kulatilleke; Mohanad Sarhan; Siamak Layeghy; Marius Portmann (Internet Things, 2023)

Inspection-L: self-supervised GNN node embeddings for money laundering detection in bitcoin. - Wai Weng Lo; Gayan K. Kulatilleke; Mohanad Sarhan; Siamak Layeghy; Marius Portmann (Appl. Intell., 2023)

Exploring edge TPU for network intrusion detection in IoT. - Seyedehfaezeh Hosseininoorbin; Siamak Layeghy; Mohanad Sarhan; Raja Jurdak; Marius Portmann (J. Parallel Distributed Comput., 2023)

Efficient block contrastive learning via parameter-free meta-node approximation. - Gayan K. Kulatilleke; Marius Portmann; Shekhar S. Chandra (Neurocomputing, 2023)

Towards Explainable Network Intrusion Detection using Large Language Models. - Paul R. B. Houssel; Priyanka Singh; Siamak Layeghy; Marius Portmann (BDCAT, 2024)

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)

Feature extraction for machine learning-based intrusion detection in IoT networks. - Mohanad Sarhan; Siamak Layeghy; Nour Moustafa; Marcus Gallagher; Marius Portmann (Digit. Commun. Networks, 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)

Benchmarking the benchmark - Comparing synthetic and real-world Network IDS datasets. - Siamak Layeghy; Marcus Gallagher; Marius Portmann (J. Inf. Secur. Appl., 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)

EcoShower: Estimating shower duration using non-intrusive multi-modal sensor data via LSTM and Gated Transformer models. - Lukas Sablica; Bettina Grün; Siamak Layeghy; Sara Dolnicar; Marius Portmann (Expert Syst. Appl., 2025)

SCGC : Self-supervised contrastive graph clustering. - Gayan K. Kulatilleke; Marius Portmann; Shekhar S. Chandra (Neurocomputing, 2025)

Leveraging LSTM and Reinforcement Learning for Adaptive Sensing in CIoT Nodes. - Sushmita Ghosh; Siamak Layeghy; Swades De; Shouri Chatterjee; Marius Portmann (IEEE Trans. Consumer Electron., 2025)

Temporal Analysis of NetFlow Datasets for Network Intrusion Detection Systems. - Majed Luay; Siamak Layeghy; Seyedehfaezeh Hosseininoorbin; Mohanad Sarhan; Nour Moustafa; Marius Portmann (CoRR, 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)

eX-NIDS: A Framework for Explainable Network Intrusion Detection Leveraging Large Language Models. - Paul R. B. Houssel; Siamak Layeghy; Priyanka Singh; Marius Portmann (CoRR, 2025)