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2020 – today
- 2024
[j22]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: 109465 (2024)- [j21]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): 205-216 (2024) - [j20]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: 122564 (2024) - [j19]Siamak Layeghy, Marcus Gallagher, Marius Portmann:
Benchmarking the benchmark - Comparing synthetic and real-world Network IDS datasets. J. Inf. Secur. Appl. 80: 103689 (2024) - [j18]Liam Daly Manocchio, Siamak Layeghy, Marius Portmann:
FlowTransformer: A flexible python framework for flow-based network data analysis. Softw. Impacts 22: 100702 (2024) - [i24]Paul R. B. Houssel, Priyanka Singh, Siamak Layeghy, Marius Portmann:
Towards Explainable Network Intrusion Detection using Large Language Models. CoRR abs/2408.04342 (2024) - 2023
- [j17]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): 19406-19417 (2023) - [j16]Siamak Layeghy, Marius Portmann:
Explainable Cross-domain Evaluation of ML-based Network Intrusion Detection Systems. Comput. Electr. Eng. 108: 108692 (2023) - [j15]Mohanad Sarhan, Siamak Layeghy, Marcus Gallagher, Marius Portmann:
From zero-shot machine learning to zero-day attack detection. Int. J. Inf. Sec. 22(4): 947-959 (2023) - [j14]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: 100747 (2023) - [j13]Seyedehfaezeh Hosseininoorbin, Siamak Layeghy, Brano Kusy, Raja Jurdak, Marius Portmann:
Exploring Edge TPU for deep feed-forward neural networks. Internet Things 22: 100749 (2023) - [j12]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: 100816 (2023) - [j11]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): 3 (2023) - [j10]Seyedehfaezeh Hosseininoorbin, Siamak Layeghy, Mohanad Sarhan, Raja Jurdak, Marius Portmann:
Exploring edge TPU for network intrusion detection in IoT. J. Parallel Distributed Comput. 179: 104712 (2023) - [j9]Siamak Layeghy, Mahsa Baktashmotlagh, Marius Portmann:
DI-NIDS: Domain invariant network intrusion detection system. Knowl. Based Syst. 273: 110626 (2023) - [c18]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: 1-7 - [i23]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 abs/2304.14746 (2023) - 2022
- [j8]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: 100359 (2022) - [j7]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: 108379 (2022) - [j6]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: 110030 (2022) - [j5]Mohanad Sarhan, Siamak Layeghy, Marius Portmann:
Towards a Standard Feature Set for Network Intrusion Detection System Datasets. Mob. Networks Appl. 27(1): 357-370 (2022) - [c17]Wai Weng Lo, Siamak Layeghy, Mohanad Sarhan, Marcus Gallagher, Marius Portmann:
Graph Neural Network-based Android Malware Classification with Jumping Knowledge. DSC 2022: 1-9 - [c16]Liam Daly Manocchio, Siamak Layeghy, Marius Portmann:
Network Intrusion Detection System in a Light Bulb. ITNAC 2022: 1-8 - [c15]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: 1-9 - [i22]Wai Weng Lo, Siamak Layeghy, Mohanad Sarhan, Marcus Gallagher, Marius Portmann:
Graph Neural Network-based Android Malware Classification with Jumping Knowledge. CoRR abs/2201.07537 (2022) - [i21]Wai Weng Lo, Siamak Layeghy, Marius Portmann:
Inspection-L: Practical GNN-Based Money Laundering Detection System for Bitcoin. CoRR abs/2203.10465 (2022) - [i20]Mohanad Sarhan, Wai Weng Lo, Siamak Layeghy, Marius Portmann:
HBFL: A Hierarchical Blockchain-based Federated Learning Framework for a Collaborative IoT Intrusion Detection. CoRR abs/2204.04254 (2022) - [i19]Siamak Layeghy, Marius Portmann:
On Generalisability of Machine Learning-based Network Intrusion Detection Systems. CoRR abs/2205.04112 (2022) - [i18]Evan Caville, Wai Weng Lo, Siamak Layeghy, Marius Portmann:
Anomal-E: A Self-Supervised Network Intrusion Detection System based on Graph Neural Networks. CoRR abs/2207.06819 (2022) - [i17]Wai Weng Lo, Siamak Layeghy, Mohanad Sarhan, Marius Portmann:
XG-BoT: An Explainable Deep Graph Neural Network for Botnet Detection and Forensics. CoRR abs/2207.09088 (2022) - [i16]Liam Daly Manocchio, Siamak Layeghy, Marius Portmann:
Network Intrusion Detection System in a Light Bulb. CoRR abs/2210.03254 (2022) - [i15]Siamak Layeghy, Mahsa Baktashmotlagh, Marius Portmann:
DI-NIDS: Domain Invariant Network Intrusion Detection System. CoRR abs/2210.08252 (2022) - [i14]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 abs/2212.07558 (2022) - 2021
- [j4]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: 106241 (2021) - [j3]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: 106377 (2021) - [j2]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): 402-414 (2021) - [c14]Liam Daly Manocchio, Siamak Layeghy, Marius Portmann:
FlowGAN - Synthetic Network Flow Generation using Generative Adversarial Networks. CSE 2021: 168-176 - [c13]Seyedehfaezeh Hosseininoorbin, Siamak Layeghy, Brano Kusy, Raja Jurdak, Marius Portmann:
Scaling Spectrogram Data Representation for Deep Learning on Edge TPU. PerCom Workshops 2021: 572-578 - [i13]Mohanad Sarhan, Siamak Layeghy, Nour Moustafa, Marius Portmann:
Towards a Standard Feature Set of NIDS Datasets. CoRR abs/2101.11315 (2021) - [i12]Seyedehfaezeh Hosseininoorbin, Siamak Layeghy, Mohanad Sarhan, Raja Jurdak, Marius Portmann:
Exploring Edge TPU for Network Intrusion Detection in IoT. CoRR abs/2103.16295 (2021) - [i11]Wai Weng Lo, Siamak Layeghy, Mohanad Sarhan, Marcus Gallagher, Marius Portmann:
E-GraphSAGE: A Graph Neural Network based Intrusion Detection System. CoRR abs/2103.16329 (2021) - [i10]Mohanad Sarhan, Siamak Layeghy, Marius Portmann:
An Explainable Machine Learning-based Network Intrusion Detection System for Enabling Generalisability in Securing IoT Networks. CoRR abs/2104.07183 (2021) - [i9]Siamak Layeghy, Marcus Gallagher, Marius Portmann:
Benchmarking the Benchmark - Analysis of Synthetic NIDS Datasets. CoRR abs/2104.09029 (2021) - [i8]Mohanad Sarhan, Siamak Layeghy, Nour Moustafa, Marcus Gallagher, Marius Portmann:
Feature Extraction for Machine Learning-based Intrusion Detection in IoT Networks. CoRR abs/2108.12722 (2021) - [i7]Mohanad Sarhan, Siamak Layeghy, Marius Portmann:
Feature Analysis for ML-based IIoT Intrusion Detection. CoRR abs/2108.12732 (2021) - [i6]Mohanad Sarhan, Siamak Layeghy, Marcus Gallagher, Marius Portmann:
From Zero-Shot Machine Learning to Zero-Day Attack Detection. CoRR abs/2109.14868 (2021) - [i5]Seyedehfaezeh Hosseininoorbin, Siamak Layeghy, Brano Kusy, Raja Jurdak, Marius Portmann:
Exploring Deep Neural Networks on Edge TPU. CoRR abs/2110.08826 (2021) - [i4]Mohanad Sarhan, Siamak Layeghy, Nour Moustafa, Marius Portmann:
A Cyber Threat Intelligence Sharing Scheme based on Federated Learning for Network Intrusion Detection. CoRR abs/2111.02791 (2021) - 2020
- [c12]Mohanad Sarhan, Siamak Layeghy, Nour Moustafa, Marius Portmann:
NetFlow Datasets for Machine Learning-Based Network Intrusion Detection Systems. BDTA/WiCON 2020: 117-135 - [i3]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 abs/2011.03381 (2020) - [i2]Mohanad Sarhan, Siamak Layeghy, Nour Moustafa, Marius Portmann:
NetFlow Datasets for Machine Learning-based Network Intrusion Detection Systems. CoRR abs/2011.09144 (2020)
2010 – 2019
- 2018
- [b1]Siamak Layeghy:
SCOR: Software-defined Constrained Optimal Routing Platform for SDN. University of Queensland, Australia, 2018 - [c11]Anees Al-Najjar, Siamak Layeghy, Marius Portmann, Jadwiga Indulska:
Enhancing Quality of Experience of VoIP Traffic in SDN based End-hosts. ITNAC 2018: 1-8 - 2017
- [c10]Talal Alharbi, Siamak Layeghy, Marius Portmann:
Experimental evaluation of the impact of DoS attacks in SDN. ITNAC 2017: 1-6 - 2016
- [c9]Anees Al-Najjar, Farzaneh Pakzad, Siamak Layeghy, Marius Portmann:
Link capacity estimation in SDN-based end-hosts. ICSPCS 2016: 1-8 - [c8]Siamak Layeghy, Farzaneh Pakzad, Marius Portmann:
SCOR: Constraint Programming-based Northbound Interface for SDN. ITNAC 2016: 83-88 - [c7]Farzaneh Pakzad, Siamak Layeghy, Marius Portmann:
Evaluation of Mininet-WiFi integration via ns-3. ITNAC 2016: 243-248 - [c6]Anees Al-Najjar, Siamak Layeghy, Marius Portmann:
Pushing SDN to the end-host, network load balancing using OpenFlow. PerCom Workshops 2016: 1-6 - [i1]Siamak Layeghy, Farzaneh Pakzad, Marius Portmann:
SCOR: Software-defined Constrained Optimal Routing Platform for SDN. CoRR abs/1607.03243 (2016) - 2014
- [j1]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: 73-80 (2014) - [c5]Siamak Layeghy, Ghasem Azemi, Paul B. Colditz, Boualem Boashash:
Non-invasivemonitoring of fetal movements using time-frequency features of accelerometry. ICASSP 2014: 4379-4383 - 2012
- [c4]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: 71-76 - [c3]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: 882-887 - 2011
- [c2]Siamak Layeghy, Maryam Odabaee, Mohamed Salah Khlif, H. R. Amindavar:
A time frequency approach to CFAR detection. ISSPIT 2011: 230-234 - [c1]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: 466-471
Coauthor Index
aka: Seyedeh Fa'ezeh Hosseini Noorbin
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last updated on 2024-10-07 22:10 CEST by the dblp team
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