Marius Portmann

ORCID

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 91

Top Venues

Publications

Liam Daly Manocchio, Siamak Layeghy, David Gwynne, Marius Portmann
A configurable anonymisation approach for network flow data: Balancing utility and privacy. Comput. Electr. Eng. 118 (2024)
Siamak Layeghy, Marcus Gallagher, Marius Portmann
Benchmarking the benchmark - Comparing synthetic and real-world Network IDS datasets. J. Inf. Secur. Appl. 80 (2024)
Liam Daly Manocchio, Siamak Layeghy, Wai Weng Lo, Gayan K. Kulatilleke, Mohanad Sarhan, Marius Portmann
FlowTransformer: A transformer framework for flow-based network intrusion detection systems. Expert Syst. Appl. 241 (2024)
Mohanad Sarhan, Siamak Layeghy, Nour Moustafa, Marcus Gallagher, Marius Portmann
Feature extraction for machine learning-based intrusion detection in IoT networks. Digit. Commun. Networks 10 (1) (2024)
Liam Daly Manocchio, Siamak Layeghy, Wai Weng Lo, Gayan K. Kulatilleke, Mohanad Sarhan, Marius Portmann
FlowTransformer: A Transformer Framework for Flow-based Network Intrusion Detection Systems. CoRR (2023)
Mohanad Sarhan, Gayan K. Kulatilleke, Wai Weng Lo, Siamak Layeghy, Marius Portmann
DOC-NAD: A Hybrid Deep One-class Classifier for Network Anomaly Detection. CCGridW (2023)
Mohanad Sarhan, Siamak Layeghy, Marcus Gallagher, Marius Portmann
From zero-shot machine learning to zero-day attack detection. Int. J. Inf. Sec. 22 (4) (2023)
Siamak Layeghy, Marius Portmann
Explainable Cross-domain Evaluation of ML-based Network Intrusion Detection Systems. Comput. Electr. Eng. 108 (2023)
Siamak Layeghy, Mahsa Baktashmotlagh, Marius Portmann
DI-NIDS: Domain invariant network intrusion detection system. Knowl. Based Syst. 273 (2023)
Sushmita Ghosh, Payali Das, Shakthipriya Murugesh, Swades De, Shouri Chatterjee, Marius Portmann
Energy Aware Smart Sensing and Implementation in Green Air Pollution Monitoring System. ICC (2023)
Seyedehfaezeh Hosseininoorbin, Siamak Layeghy, Brano Kusy, Raja Jurdak, Marius Portmann
HARBIC: Human activity recognition using bi-stream convolutional neural network with dual joint time-frequency representation. Internet Things 22 (2023)
Sushmita Ghosh, Akash Kumar Mandal, Swades De, Shouri Chatterjee, Marius Portmann
Light-Weight ML Aided Autonomous IoT Networks. IEEE Commun. Mag. 61 (6) (2023)
Mohanad Sarhan, Siamak Layeghy, Nour Moustafa, Marius Portmann
Cyber Threat Intelligence Sharing Scheme Based on Federated Learning for Network Intrusion Detection. J. Netw. Syst. Manag. 31 (1) (2023)
Gayan K. Kulatilleke, Marius Portmann, Shekhar S. Chandra
Efficient block contrastive learning via parameter-free meta-node approximation. Neurocomputing 561 (2023)
Seyedehfaezeh Hosseininoorbin, Siamak Layeghy, Mohanad Sarhan, Raja Jurdak, Marius Portmann
Exploring edge TPU for network intrusion detection in IoT. J. Parallel Distributed Comput. 179 (2023)
Wai Weng Lo, Gayan K. Kulatilleke, Mohanad Sarhan, Siamak Layeghy, Marius Portmann
Inspection-L: self-supervised GNN node embeddings for money laundering detection in bitcoin. Appl. Intell. 53 (16) (2023)
Wai Weng Lo, Gayan K. Kulatilleke, Mohanad Sarhan, Siamak Layeghy, Marius Portmann
XG-BoT: An explainable deep graph neural network for botnet detection and forensics. Internet Things 22 (2023)
Seyedehfaezeh Hosseininoorbin, Siamak Layeghy, Brano Kusy, Raja Jurdak, Marius Portmann
Exploring Edge TPU for deep feed-forward neural networks. Internet Things 22 (2023)
Wai Weng Lo, Siamak Layeghy, Mohanad Sarhan, Marcus Gallagher, Marius Portmann
E-GraphSAGE: A Graph Neural Network based Intrusion Detection System for IoT. NOMS (2022)
Mohanad Sarhan, Siamak Layeghy, Marius Portmann
Evaluating Standard Feature Sets Towards Increased Generalisability and Explainability of ML-Based Network Intrusion Detection. Big Data Res. 30 (2022)
Mohanad Sarhan, Wai Weng Lo, Siamak Layeghy, Marius Portmann
HBFL: A Hierarchical Blockchain-based Federated Learning Framework for a Collaborative IoT Intrusion Detection. CoRR (2022)
Liam Daly Manocchio, Siamak Layeghy, Marius Portmann
Network Intrusion Detection System in a Light Bulb. CoRR (2022)
Siamak Layeghy, Mahsa Baktashmotlagh, Marius Portmann
DI-NIDS: Domain Invariant Network Intrusion Detection System. CoRR (2022)
Wai Weng Lo, Siamak Layeghy, Mohanad Sarhan, Marcus Gallagher, Marius Portmann
Graph Neural Network-based Android Malware Classification with Jumping Knowledge. DSC (2022)
Liam Daly Manocchio, Siamak Layeghy, Marius Portmann
Network Intrusion Detection System in a Light Bulb. ITNAC (2022)
Evan Caville, Wai Weng Lo, Siamak Layeghy, Marius Portmann
Anomal-E: A Self-Supervised Network Intrusion Detection System based on Graph Neural Networks. CoRR (2022)
Gayan K. Kulatilleke, Shekhar S. Chandra, Marius Portmann
NBC-Softmax : Darkweb Author fingerprinting and migration tracking. CoRR (2022)
Wai Weng Lo, Siamak Layeghy, Marius Portmann
Inspection-L: Practical GNN-Based Money Laundering Detection System for Bitcoin. CoRR (2022)
Evan Caville, Wai Weng Lo, Siamak Layeghy, Marius Portmann
Anomal-E: A self-supervised network intrusion detection system based on graph neural networks. Knowl. Based Syst. 258 (2022)
Mohanad Sarhan, Gayan K. Kulatilleke, Wai Weng Lo, Siamak Layeghy, Marius Portmann
DOC-NAD: A Hybrid Deep One-class Classifier for Network Anomaly Detection. CoRR (2022)
Sushmita Ghosh, Payali Das, Swades De, Shouri Chatterjee, Marius Portmann
Local Reference-Free In-Field Calibration of Low-Cost Air Pollution Monitoring Sensors. IEEE Trans. Instrum. Meas. 71 (2022)
Sushmita Ghosh, Swades De, Shouri Chatterjee, Marius Portmann
Edge Intelligence Framework for Data-Driven Dynamic Priority Sensing and Transmission. IEEE Trans. Green Commun. Netw. 6 (1) (2022)
Wai Weng Lo, Siamak Layeghy, Mohanad Sarhan, Marius Portmann
XG-BoT: An Explainable Deep Graph Neural Network for Botnet Detection and Forensics. CoRR (2022)
Gayan K. Kulatilleke, Marius Portmann, Shekhar S. Chandra
SCGC : Self-Supervised Contrastive Graph Clustering. CoRR (2022)
Siamak Layeghy, Marius Portmann
On Generalisability of Machine Learning-based Network Intrusion Detection Systems. CoRR (2022)
Mohanad Sarhan, Siamak Layeghy, Marius Portmann
Towards a Standard Feature Set for Network Intrusion Detection System Datasets. Mob. Networks Appl. 27 (1) (2022)
Gayan K. Kulatilleke, Marius Portmann, Ryan Ko, Shekhar S. Chandra
FDGATII: Fast Dynamic Graph Attention with Initial Residual and Identity. AI (2022)
Mohanad Sarhan, Wai Weng Lo, Siamak Layeghy, Marius Portmann
HBFL: A hierarchical blockchain-based federated learning framework for collaborative IoT intrusion detection. Comput. Electr. Eng. 103 (2022)
Wai Weng Lo, Siamak Layeghy, Mohanad Sarhan, Marcus Gallagher, Marius Portmann
Graph Neural Network-based Android Malware Classification with Jumping Knowledge. CoRR (2022)
Gayan K. Kulatilleke, Marius Portmann, Shekhar S. Chandra
Efficient block contrastive learning via parameter-free meta-node approximation. CoRR (2022)
Seyedehfaezeh Hosseininoorbin, Siamak Layeghy, Brano Kusy, Raja Jurdak, Greg Bishop-Hurley, Paul L. Greenwood, Marius Portmann
Deep learning-based cattle behaviour classification using joint time-frequency data representation. Comput. Electron. Agric. 187 (2021)
Seyedehfaezeh Hosseininoorbin, Siamak Layeghy, Mohanad Sarhan, Raja Jurdak, Marius Portmann
Exploring Edge TPU for Network Intrusion Detection in IoT. CoRR (2021)
Muhammad Moid Sandhu, Sara Khalifa, Kai Geissdoerfer, Raja Jurdak, Marius Portmann
SolAR: Energy Positive Human Activity Recognition using Solar Cells. PerCom (2021)
Siamak Layeghy, Marcus Gallagher, Marius Portmann
Benchmarking the Benchmark - Analysis of Synthetic NIDS Datasets. CoRR (2021)
Gayan K. Kulatilleke, Marius Portmann, Ryan Ko, Shekhar S. Chandra
FDGATII : Fast Dynamic Graph Attention with Initial Residual and Identity Mapping. CoRR (2021)
Mohanad Sarhan, Siamak Layeghy, Nour Moustafa, Marcus Gallagher, Marius Portmann
Feature Extraction for Machine Learning-based Intrusion Detection in IoT Networks. CoRR (2021)
Liam Daly Manocchio, Siamak Layeghy, Marius Portmann
FlowGAN - Synthetic Network Flow Generation using Generative Adversarial Networks. CSE (2021)
Mohanad Sarhan, Siamak Layeghy, Nour Moustafa, Marius Portmann
A Cyber Threat Intelligence Sharing Scheme based on Federated Learning for Network Intrusion Detection. CoRR (2021)
Mohanad Sarhan, Siamak Layeghy, Marius Portmann
An Explainable Machine Learning-based Network Intrusion Detection System for Enabling Generalisability in Securing IoT Networks. CoRR (2021)
Seyedehfaezeh Hosseininoorbin, Siamak Layeghy, Brano Kusy, Raja Jurdak, Marius Portmann
Scaling Spectrogram Data Representation for Deep Learning on Edge TPU. PerCom Workshops (2021)
Andrea Melis, Siamak Layeghy, Davide Berardi, Marius Portmann, Marco Prandini, Franco Callegati
P-SCOR: Integration of Constraint Programming Orchestration and Programmable Data Plane. IEEE Trans. Netw. Serv. Manag. 18 (1) (2021)
Muhammad Moid Sandhu, Sara Khalifa, Raja Jurdak, Marius Portmann
Task Scheduling for Energy-Harvesting-Based IoT: A Survey and Critical Analysis. IEEE Internet Things J. 8 (18) (2021)
Wai Weng Lo, Siamak Layeghy, Mohanad Sarhan, Marcus Gallagher, Marius Portmann
E-GraphSAGE: A Graph Neural Network based Intrusion Detection System. CoRR (2021)
Mohanad Sarhan, Siamak Layeghy, Nour Moustafa, Marius Portmann
Towards a Standard Feature Set of NIDS Datasets. CoRR (2021)
Mohanad Sarhan, Siamak Layeghy, Marcus Gallagher, Marius Portmann
From Zero-Shot Machine Learning to Zero-Day Attack Detection. CoRR (2021)
Sushmita Ghosh, Swades De, Shouri Chatterjee, Marius Portmann
Learning-based Smart Sensing for Energy-Sustainable WSN. ICC (2021)
Seyedehfaezeh Hosseininoorbin, Siamak Layeghy, Brano Kusy, Raja Jurdak, Marius Portmann
Exploring Deep Neural Networks on Edge TPU. CoRR (2021)
Mohanad Sarhan, Siamak Layeghy, Marius Portmann
Feature Analysis for ML-based IIoT Intrusion Detection. CoRR (2021)
Muhammad Moid Sandhu, Kai Geissdoerfer, Sara Khalifa, Raja Jurdak, Marius Portmann, Brano Kusy
Towards Optimal Kinetic Energy Harvesting for the Batteryless IoT. PerCom Workshops (2020)
Muhammad Moid Sandhu, Kai Geissdoerfer, Sara Khalifa, Raja Jurdak, Marius Portmann, Brano Kusy
Towards Energy Positive Sensing using Kinetic Energy Harvesters. PerCom (2020)
Anees Al-Najjar, Furqan Hameed Khan, Marius Portmann
Network Traffic Control for Multi-homed End-hosts via SDN. CoRR (2020)
Wei Yin, Peizhao Hu, Jadwiga Indulska, Marius Portmann, Ying Mao
MAC-layer rate control for 802.11 networks: a survey. Wirel. Networks 26 (5) (2020)
Furqan Hameed Khan, Raja Jurdak, Marius Portmann
A Model for Reliable Uplink Transmissions in LoRaWAN. CoRR (2020)
Mohanad Sarhan, Siamak Layeghy, Nour Moustafa, Marius Portmann
NetFlow Datasets for Machine Learning-Based Network Intrusion Detection Systems. BDTA/WiCON (2020)
Seyedeh Fa'ezeh Hosseini Noorbin, Siamak Layeghy, Brano Kusy, Raja Jurdak, Greg Bishop-Hurley, Marius Portmann
Deep Learning-based Cattle Activity Classification Using Joint Time-frequency Data Representation. CoRR (2020)
Mohanad Sarhan, Siamak Layeghy, Nour Moustafa, Marius Portmann
NetFlow Datasets for Machine Learning-based Network Intrusion Detection Systems. CoRR (2020)
Anees Al-Najjar, Furqan Hameed Khan, Marius Portmann
Network traffic control for multi-homed end-hosts via SDN. IET Commun. 14 (19) (2020)
Furqan Hameed Khan, Marius Portmann
Experimental Evaluation of LoRaWAN in NS-3. CoRR (2020)
Furqan Hameed Khan, Marius Portmann
Joint QoS-control and handover optimization in backhaul aware SDN-based LTE networks. Wirel. Networks 26 (4) (2020)
Furqan Hameed Khan, Marius Portmann
Joint QoS-control and Handover Optimization in Backhaul aware SDN-based LTE Networks. CoRR (2019)
Talal Alharbi, Marius Portmann
The (In)Security of Virtualization in Software Defined Networks. IEEE Access 7 (2019)
Furqan Hameed Khan, Raja Jurdak, Marius Portmann
A Model for Reliable Uplink Transmissions in LoRaWAN. DCOSS (2019)
Wei Yin, Peizhao Hu, Jadwiga Indulska, Marius Portmann, Ying Mao
MAC-Layer Rate Control for 802.11 Networks: Lesson Learned and Looking Forward. CoRR (2018)
Furqan Hameed Khan, Marius Portmann
Experimental Evaluation of LoRaWAN in NS-3. ITNAC (2018)
Anees Al-Najjar, Siamak Layeghy, Marius Portmann, Jadwiga Indulska
Enhancing Quality of Experience of VoIP Traffic in SDN based End-hosts. ITNAC (2018)
Farzaneh Pakzad, Marius Portmann, Thierry Turletti, Thierry Parmentelat, Mohamed Naoufal Mahfoudi, Walid Dabbous
R2Lab Testbed Evaluation for Wireless Mesh Network Experiments. ITNAC (2018)
Talal Alharbi, Siamak Layeghy, Marius Portmann
Experimental evaluation of the impact of DoS attacks in SDN. ITNAC (2017)
Anees Al-Najjar, Samuel Teed, Jadwiga Indulska, Marius Portmann
Flow-based load balancing of web traffic using OpenFlow. ITNAC (2017)
Furqan Hameed Khan, Marius Portmann
Backhaul, QoS, and channel-aware load balancing optimization in SDN-based LTE networks. ICSPCS (2017)
Furqan Hameed Khan, Marius Portmann
Backhaul, QoS, and channel-aware load balancing optimization in SDN-based LTE networks. ICSPCS (2017)
Anees Al-Najjar, Farzaneh Pakzad, Siamak Layeghy, Marius Portmann
Link capacity estimation in SDN-based end-hosts. ICSPCS (2016)
Talal Alharbi, Dario Durando, Farzaneh Pakzad, Marius Portmann
Securing ARP in Software Defined Networks. LCN (2016)
Farzaneh Pakzad, Marius Portmann, Wee Lum Tan, Jadwiga Indulska
Efficient topology discovery in OpenFlow-based Software Defined Networks. Comput. Commun. 77 (2016)
Siamak Layeghy, Farzaneh Pakzad, Marius Portmann
SCOR: Software-defined Constrained Optimal Routing Platform for SDN. CoRR (2016)
Saaidal Razalli Azzuhri, Harith Ahmad, Marius Portmann, Ismail Ahmedy, Ranjana Pathak
An Efficient Hybrid MANET-DTN Routing Scheme for OLSR. Wirel. Pers. Commun. 89 (4) (2016)
Talal Alharbi, Marius Portmann
SProxy ARP - efficient ARP handling in SDN. ITNAC (2016)
Farzaneh Pakzad, Siamak Layeghy, Marius Portmann
Evaluation of Mininet-WiFi integration via ns-3. ITNAC (2016)
Anees Al-Najjar, Siamak Layeghy, Marius Portmann
Pushing SDN to the end-host, network load balancing using OpenFlow. PerCom Workshops (2016)
Furqan Hameed Khan, Marius Portmann
A system-level architecture for software-defined LTE networks. ICSPCS (2016)
Rob J. van Glabbeek, Peter Höfner, Marius Portmann, Wee Lum Tan
Modelling and verifying the AODV routing protocol. Distributed Comput. 29 (4) (2016)
Siamak Layeghy, Farzaneh Pakzad, Marius Portmann
SCOR: Constraint Programming-based Northbound Interface for SDN. ITNAC (2016)
Ansgar Fehnker, Rob J. van Glabbeek, Peter Höfner, Annabelle McIver, Marius Portmann, Wee Lum Tan
Automated Analysis of AODV using UPPAAL. CoRR (2015)
Farzaneh Pakzad, Marius Portmann, Jared Hayward
Link capacity estimation in wireless software defined networks. ITNAC (2015)
Ansgar Fehnker, Rob J. van Glabbeek, Peter Höfner, Annabelle McIver, Marius Portmann, Wee Lum Tan
A Process Algebra for Wireless Mesh Networks. CoRR (2015)
Rob J. van Glabbeek, Peter Höfner, Wee Lum Tan, Marius Portmann
Sequence Numbers Do Not Guarantee Loop Freedom; AODV Can Yield Routing Loops. CoRR (2015)
Ansgar Fehnker, Rob J. van Glabbeek, Peter Höfner, Annabelle McIver, Marius Portmann, Wee Lum Tan
Modelling and Analysis of AODV in UPPAAL. CoRR (2015)
Rob J. van Glabbeek, Peter Höfner, Marius Portmann, Wee Lum Tan
Modelling and Verifying the AODV Routing Protocol. CoRR (2015)
Peter Höfner, Rob J. van Glabbeek, Wee Lum Tan, Marius Portmann, Annabelle McIver, Ansgar Fehnker
A Rigorous Analysis of AODV and its Variants. CoRR (2015)
Talal Alharbi, Marius Portmann, Farzaneh Pakzad
The (in)security of Topology Discovery in Software Defined Networks. LCN (2015)
David B. Smith, Marius Portmann, Wee Lum Tan, Wayes Tushar
Multi-Source-Destination Distributed Wireless Networks: Pareto-Efficient Dynamic Power Control Game With Rapid Convergence. IEEE Trans. Veh. Technol. 63 (6) (2014)

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Publication Activity (10 Years)

Top Topics

Top Venues

Marius Portmann