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Towards a Standard Feature Set for Network Intrusion Detection System Datasets

Mobile networks and applications, 2022-02, Vol.27 (1), p.357-370

2022

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Feature extraction for machine learning-based intrusion detection in IoT networks

Digital communications and networks, 2024-02, Vol.10 (1), p.205-216

2024

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Does every hotel room need a minifridge? Empirical evidence from consumer self-reports and an automatic sensor-based system measuring electricity consumption and guest use

Annals of tourism research empirical insights, 2024-11, Vol.5 (2), p.100134, Article 100134

2024

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DI-NIDS: Domain invariant network intrusion detection system

Knowledge-based systems, 2023-08, Vol.273, p.110626, Article 110626

2023

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Flow-level Load Balancing of HTTP Traffic using OpenFlow

Australian journal of telecommunications and the digital economy, 2018-12, Vol.6 (4), p.75-95

2018

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

Knowledge-based systems, 2022-12, Vol.258, p.110030, Article 110030

2022

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A New QoS Routing Northbound Interface for SDN

Australian journal of telecommunications and the digital economy, 2017-03, Vol.5 (1), p.92

2017

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

Journal of network and systems management, 2023-03, Vol.31 (1), p.3, Article 3

2023

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

Computers & electrical engineering, 2022-10, Vol.103, p.108379, Article 108379

2022

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

Big data research, 2022-11, Vol.30, p.100359, Article 100359

2022

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Exploring edge TPU for network intrusion detection in IoT

Journal of parallel and distributed computing, 2023-09, Vol.179, p.104712, Article 104712

2023

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NetFlow Datasets for Machine Learning-Based Network Intrusion Detection Systems

Big Data Technologies and Applications, p.117-135

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

International journal of information security, 2023-08, Vol.22 (4), p.947-959

2023

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

NOMS 2022-2022 IEEE/IFIP Network Operations and Management Symposium, 2022, p.1-9

2022

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FlowTransformer: A transformer framework for flow-based network intrusion detection systems

Expert systems with applications, 2024-05, Vol.241, p.122564, Article 122564

2024

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FlowTransformer: A flexible python framework for flow-based network data analysis

Software impacts, 2024-11, Vol.22, p.100702, Article 100702

2024

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A configurable anonymisation approach for network flow data: Balancing utility and privacy

Computers & electrical engineering, 2024-09, Vol.118, p.109465, Article 109465

2024

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Benchmarking the benchmark — Comparing synthetic and real-world Network IDS datasets

Journal of information security and applications, 2024-02, Vol.80, p.103689, Article 103689

2024

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

Internet of things (Amsterdam. Online), 2023-07, Vol.22, p.100747, Article 100747

2023

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

Applied intelligence (Dordrecht, Netherlands), 2023-08, Vol.53 (16), p.19406-19417

2023

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Exploring Edge TPU for deep feed-forward neural networks

Internet of things (Amsterdam. Online), 2023-07, Vol.22, p.100749, Article 100749

2023

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

Computers and electronics in agriculture, 2021-08, Vol.187, p.106241, Article 106241

2021

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

Internet of things (Amsterdam. Online), 2023-07, Vol.22, p.100816, Article 100816

2023

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Neonatal EEG at scalp is focal and implies high skull conductivity in realistic neonatal head models

NeuroImage (Orlando, Fla.), 2014-08, Vol.96, p.73-80

2014

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

IEEE eTransactions on network and service management, 2021-03, Vol.18 (1), p.402-414

2021

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Towards a Standard Feature Set for Network Intrusion Detection System Datasets

Feature extraction for machine learning-based intrusion detection in IoT networks

Does every hotel room need a minifridge? Empirical evidence from consumer self-reports and an automatic sensor-based system measuring electricity consumption and guest use

DI-NIDS: Domain invariant network intrusion detection system

Flow-level Load Balancing of HTTP Traffic using OpenFlow

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

A New QoS Routing Northbound Interface for SDN

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

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

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

Exploring edge TPU for network intrusion detection in IoT

NetFlow Datasets for Machine Learning-Based Network Intrusion Detection Systems

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

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

FlowTransformer: A transformer framework for flow-based network intrusion detection systems

FlowTransformer: A flexible python framework for flow-based network data analysis

A configurable anonymisation approach for network flow data: Balancing utility and privacy

Benchmarking the benchmark — Comparing synthetic and real-world Network IDS datasets

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

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

Exploring Edge TPU for deep feed-forward neural networks

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

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

Neonatal EEG at scalp is focal and implies high skull conductivity in realistic neonatal head models

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

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