Siamak Layeghy

Marcus Gallagher

J. Inf. Secur. Appl., February, 2024

2023

Exploring edge TPU for network intrusion detection in IoT.

[BibT_eX]

[DOI]

J. Parallel Distributed Comput., September, 2023

Inspection-L: self-supervised GNN node embeddings for money laundering detection in bitcoin.

[BibT_eX]

[DOI]

Appl. Intell., August, 2023

XG-BoT: An explainable deep graph neural network for botnet detection and forensics.

[BibT_eX]

[DOI]

Internet Things, July, 2023

HARBIC: Human activity recognition using bi-stream convolutional neural network with dual joint time-frequency representation.

[BibT_eX]

[DOI]

Internet Things, July, 2023

Exploring Edge TPU for deep feed-forward neural networks.

[BibT_eX]

[DOI]

Internet Things, July, 2023

Explainable Cross-domain Evaluation of ML-based Network Intrusion Detection Systems.

[BibT_eX]

[DOI]

Comput. Electr. Eng., May, 2023

DI-NIDS: Domain invariant network intrusion detection system.

[BibT_eX]

[DOI]

Mahsa Baktashmotlagh

Knowl. Based Syst., 2023

Cyber Threat Intelligence Sharing Scheme Based on Federated Learning for Network Intrusion Detection.

[BibT_eX]

[DOI]

J. Netw. Syst. Manag., 2023

From zero-shot machine learning to zero-day attack detection.

[BibT_eX]

[DOI]

Int. J. Inf. Sec., 2023

FlowTransformer: A Transformer Framework for Flow-based Network Intrusion Detection Systems.

[BibT_eX]

[DOI]

CoRR, 2023

DOC-NAD: A Hybrid Deep One-class Classifier for Network Anomaly Detection.

[BibT_eX]

[DOI]

Proceedings of the 23rd IEEE/ACM International Symposium on Cluster, 2023

2022

Towards a Standard Feature Set for Network Intrusion Detection System Datasets.

[BibT_eX]

[DOI]

Mob. Networks Appl., 2022

Anomal-E: A self-supervised network intrusion detection system based on graph neural networks.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2022

XG-BoT: An Explainable Deep Graph Neural Network for Botnet Detection and Forensics.

[BibT_eX]

[DOI]

CoRR, 2022

On Generalisability of Machine Learning-based Network Intrusion Detection Systems.

[BibT_eX]

[DOI]

CoRR, 2022

Inspection-L: Practical GNN-Based Money Laundering Detection System for Bitcoin.

[BibT_eX]

[DOI]

Wai Weng Lo

CoRR, 2022

HBFL: A hierarchical blockchain-based federated learning framework for collaborative IoT intrusion detection.

[BibT_eX]

[DOI]

Comput. Electr. Eng., 2022

Evaluating Standard Feature Sets Towards Increased Generalisability and Explainability of ML-Based Network Intrusion Detection.

[BibT_eX]

[DOI]

Big Data Res., 2022

E-GraphSAGE: A Graph Neural Network based Intrusion Detection System for IoT.

[BibT_eX]

[DOI]

Proceedings of the 2022 IEEE/IFIP Network Operations and Management Symposium, 2022

Network Intrusion Detection System in a Light Bulb.

[BibT_eX]

[DOI]

Liam Daly Manocchio

Proceedings of the 32nd International Telecommunication Networks and Applications Conference, 2022

Graph Neural Network-based Android Malware Classification with Jumping Knowledge.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Dependable and Secure Computing, 2022

2021

P-SCOR: Integration of Constraint Programming Orchestration and Programmable Data Plane.

[BibT_eX]

[DOI]

IEEE Trans. Netw. Serv. Manag., 2021

Exploring Deep Neural Networks on Edge TPU.

[BibT_eX]

[DOI]

CoRR, 2021

Feature Analysis for ML-based IIoT Intrusion Detection.

[BibT_eX]

[DOI]

CoRR, 2021

Feature Extraction for Machine Learning-based Intrusion Detection in IoT Networks.

[BibT_eX]

[DOI]

CoRR, 2021

Benchmarking the Benchmark - Analysis of Synthetic NIDS Datasets.

[BibT_eX]

[DOI]

Marcus Gallagher

CoRR, 2021

An Explainable Machine Learning-based Network Intrusion Detection System for Enabling Generalisability in Securing IoT Networks.

[BibT_eX]

[DOI]

CoRR, 2021

E-GraphSAGE: A Graph Neural Network based Intrusion Detection System.

[BibT_eX]

[DOI]

CoRR, 2021

Towards a Standard Feature Set of NIDS Datasets.

[BibT_eX]

[DOI]

CoRR, 2021

Automatic fetal movement recognition from multi-channel accelerometry data.

[BibT_eX]

[DOI]

Comput. Methods Programs Biomed., 2021

Deep learning-based cattle behaviour classification using joint time-frequency data representation.

[BibT_eX]

[DOI]

Comput. Electron. Agric., 2021

Scaling Spectrogram Data Representation for Deep Learning on Edge TPU.

[BibT_eX]

[DOI]

Proceedings of the 19th IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2021

FlowGAN - Synthetic Network Flow Generation using Generative Adversarial Networks.

[BibT_eX]

[DOI]

Liam Daly Manocchio

Seyedeh Fa'ezeh Hosseini Noorbin

Proceedings of the 24th IEEE International Conference on Computational Science and Engineering, 2021

2020

Deep Learning-based Cattle Activity Classification Using Joint Time-frequency Data Representation.

[BibT_eX]

[DOI]

CoRR, 2020

NetFlow Datasets for Machine Learning-Based Network Intrusion Detection Systems.

[BibT_eX]

[DOI]

Proceedings of the Big Data Technologies and Applications, 2020

2018

SCOR: Software-defined Constrained Optimal Routing Platform for SDN

[BibT_eX]

[DOI]

PhD thesis, 2018

Enhancing Quality of Experience of VoIP Traffic in SDN based End-hosts.

[BibT_eX]

[DOI]

Proceedings of the 28th International Telecommunication Networks and Applications Conference, 2018

2017

Experimental evaluation of the impact of DoS attacks in SDN.

[BibT_eX]

[DOI]

Talal Alharbi

Proceedings of the 27th International Telecommunication Networks and Applications Conference, 2017

2016

SCOR: Software-defined Constrained Optimal Routing Platform for SDN.

[BibT_eX]

[DOI]

Farzaneh Pakzad

CoRR, 2016

Pushing SDN to the end-host, network load balancing using OpenFlow.

[BibT_eX]

[DOI]

Anees Al-Najjar

Proceedings of the 2016 IEEE International Conference on Pervasive Computing and Communication Workshops, 2016

Evaluation of Mininet-WiFi integration via ns-3.

[BibT_eX]

[DOI]

Farzaneh Pakzad

Proceedings of the 26th International Telecommunication Networks and Applications Conference, 2016

SCOR: Constraint Programming-based Northbound Interface for SDN.

[BibT_eX]

[DOI]

Farzaneh Pakzad