Siamak Layeghy

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 56

Top Topics

Intrusion Detection

Anomaly Detection

Money Laundering

Machine Learning

Top Venues

Comput. Electr. Eng.

Internet Things

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)
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)
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)
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)
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)
Wai Weng Lo, Siamak Layeghy, Mohanad Sarhan, Marius Portmann
XG-BoT: An Explainable Deep Graph Neural Network for Botnet Detection and Forensics. 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)
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)
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)
Siamak Layeghy, Marcus Gallagher, Marius Portmann
Benchmarking the Benchmark - Analysis of Synthetic NIDS Datasets. 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)
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)
Mostefa Mesbah, Mohamed Salah Khlif, Siamak Layeghy, Christine East, Shiying Dong, Amy Brodtmann, Paul B. Colditz, Boualem Boashash
Automatic fetal movement recognition from multi-channel accelerometry data. Comput. Methods Programs Biomed. 210 (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)
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, Siamak Layeghy, Marius Portmann, Jadwiga Indulska
Enhancing Quality of Experience of VoIP Traffic in SDN based End-hosts. ITNAC (2018)
Talal Alharbi, Siamak Layeghy, Marius Portmann
Experimental evaluation of the impact of DoS attacks in SDN. ITNAC (2017)
Anees Al-Najjar, Farzaneh Pakzad, Siamak Layeghy, Marius Portmann
Link capacity estimation in SDN-based end-hosts. ICSPCS (2016)
Siamak Layeghy, Farzaneh Pakzad, Marius Portmann
SCOR: Software-defined Constrained Optimal Routing Platform for SDN. CoRR (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)
Siamak Layeghy, Farzaneh Pakzad, Marius Portmann
SCOR: Constraint Programming-based Northbound Interface for SDN. ITNAC (2016)
Siamak Layeghy, Ghasem Azemi, Paul B. Colditz, Boualem Boashash
Non-invasivemonitoring of fetal movements using time-frequency features of accelerometry. ICASSP (2014)
Maryam Odabaee, Anton Tokariev, Siamak Layeghy, Mostefa Mesbah, Paul B. Colditz, Ceon Ramon, Sampsa Vanhatalo
Neonatal EEG at scalp is focal and implies high skull conductivity in realistic neonatal head models. NeuroImage 96 (2014)
Mohamed Salah Khlif, Boualem Boashash, Siamak Layeghy, Taoufik Ben Jabeur, Paul B. Colditz, Christine East
A passive DSP approach to fetal movement detection for monitoring fetal health. ISSPA (2012)
Maryam Odabaee, Siamak Layeghy, Mostefa Mesbah, Ghasem Azemi, Boualem Boashash, Paul B. Colditz, Sampsa Vanhatalo
EEG amplitude and correlation spatial decay analysis for neonatal head modelling. ISSPA (2012)
Mohamed Salah Khlif, Boualem Boashash, Siamak Layeghy, Taoufik Ben Jabeur, Mostefa Mesbah, Christine East, Paul B. Colditz
Time-frequency characterization of tri-axial accelerometer data for fetal movement detection. ISSPIT (2011)
Siamak Layeghy, Maryam Odabaee, Mohamed Salah Khlif, H. R. Amindavar
A time frequency approach to CFAR detection. ISSPIT (2011)