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Siamak Layeghy
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Netflow Datasets for Machine Learning-based Network Intrusion Detection Systems
M Sarhan, S Layeghy, N Moustafa, M Portmann
Big Data Technologies and Applications: 10th EAI International Conference …, 2021
2252021
Towards a standard feature set for network intrusion detection system datasets
M Sarhan, S Layeghy, M Portmann
Mobile networks and applications, 1-14, 2022
1602022
E-graphsage: A Graph Neural Network Based Intrusion Detection System for IoT
WW Lo, S Layeghy, M Sarhan, M Gallagher, M Portmann
NOMS 2022-2022 IEEE/IFIP Network Operations and Management Symposium, 1-9, 2022
1562022
Neonatal EEG At Scalp Is Focal and Implies High Skull Conductivity in Realistic Neonatal Head Models
SV Maryam Odabaee, Anton Tokariev, Siamak Layeghy
NeuroImage, 2014
692014
Feature Extraction for Machine Learning-based Intrusion Detection in IoT Networks
M Sarhan, S Layeghy, N Moustafa, M Gallagher, M Portmann
Digital Communications and Networks, 2022
612022
Anomal-E: A Self-Supervised Network Intrusion Detection System Based on Graph Neural Networks
E Caville, WW Lo, S Layeghy, M Portmann
Knowledge-Based Systems 258, 110030, 2022
512022
Evaluating standard feature sets towards increased generalisability and explainability of ML-based network intrusion detection
M Sarhan, S Layeghy, M Portmann
Big Data Research 30, 100359, 2022
512022
Cyber Threat Intelligence Sharing Scheme Based on Federated Learning for Network Intrusion Detection
M Sarhan, S Layeghy, N Moustafa, M Portmann
Journal of Network and Systems Management 31 (1), 3, 2023
492023
Feature Analysis for Machine Learning-based IoT Intrusion Detection
M Sarhan, S Layeghy, M Portmann
arXiv preprint arXiv:2108.12732, 2021
482021
Pushing SDN To the End-Host, Network Load Balancing Using Openflow
A Al-Najjar, S Layeghy, M Portmann
2016 IEEE international conference on pervasive computing and communication …, 2016
442016
HBFL: A Hierarchical Blockchain-based Federated Learning Framework for a Collaborative IoT Intrusion Detection
M Sarhan, WW Lo, S Layeghy, M Portmann
Computers and Electrical Engineering 103, 2022
402022
Deep Learning-Based Cattle Behaviour Classification Using Joint Time-Frequency Data Representation
S Hosseininoorbin, S Layeghy, B Kusy, R Jurdak, GJ Bishop-Hurley, ...
Computers and Electronics in Agriculture 187, 106241, 2021
352021
Inspection-L: Self-Supervised GNN Node Embeddings for Money Laundering Detection in Bitcoin
WW Lo, GK Kulatilleke, M Sarhan, S Layeghy, M Portmann
Applied Intelligence, 1-12, 2023
30*2023
From zero-shot machine learning to zero-day attack detection
M Sarhan, S Layeghy, M Gallagher, M Portmann
International Journal of Information Security, 1-13, 2023
272023
Experimental Evaluation of The Impact of Dos Attacks In SDN
T Alharbi, S Layeghy, M Portmann
2017 27th International Telecommunication Networks and Applications …, 2017
272017
Time-Frequency Characterization of Tri-Axial Accelerometer Data for Fetal Movement Detection
MS Khlif, B Boashash, S Layeghy, T Ben-Jabeur, M Mesbah, C East, ...
2011 IEEE International Symposium on Signal Processing and Information …, 2011
252011
XG-BoT: An explainable deep graph neural network for botnet detection and forensics
WW Lo, G Kulatilleke, M Sarhan, S Layeghy, M Portmann
Internet of Things 22, 100747, 2023
242023
Exploring edge TPU for Network Intrusion Detection in IoT
S Hosseininoorbin, S Layeghy, M Sarhan, R Jurdak, M Portmann
Journal of Parallel and Distributed Computing, 2023
242023
Non-invasive Monitoring of Fetal Movements Using Time-Frequency Features of Accelerometry
S Layeghy, G Azemi, P Colditz, B Boashash
2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014
232014
A Passive DSP Approach to Fetal Movement Detection for Monitoring Fetal Health
MSH Khlif, B Boashash, S Layeghy, T Ben-Jabeur, PB Colditz, C East
2012 11th International Conference on Information Science, Signal Processing …, 2012
232012
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