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A Deep Learning Ensemble for Network Anomaly and Cyber-Attack Detection

Sensors (Basel, Switzerland), 2020-08, Vol.20 (16), p.4583

2020

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A new method of hybrid time window embedding with transformer-based traffic data classification in IoT-networked environment

Pattern analysis and applications : PAA, 2021-11, Vol.24 (4), p.1441-1449

2021

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Sensors and Pattern Recognition Methods for Security and Industrial Applications

Sensors (Basel, Switzerland), 2022-08, Vol.22 (16), p.5968

2022

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A Systematic Review of Recommender Systems and Their Applications in Cybersecurity

Sensors (Basel, Switzerland), 2021-08, Vol.21 (15), p.5248

2021

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The stray sheep of cyberspace a.k.a. the actors who claim they break the law for the greater good

Personal and ubiquitous computing, 2021-10, Vol.25 (5), p.843-852

2021

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Deep Learning for Combating Misinformation in Multicategorical Text Contents

Sensors (Basel, Switzerland), 2023-12, Vol.23 (24), p.9666

2023

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Tight Arms Race: Overview of Current Malware Threats and Trends in Their Detection

IEEE access, 2021, Vol.9, p.5371-5396

2021

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The Proposition and Evaluation of the RoEduNet-SIMARGL2021 Network Intrusion Detection Dataset

Sensors (Basel, Switzerland), 2021-06, Vol.21 (13), p.4319

2021

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The Influence of Surface Texture of Elements Made of PA6-Based Composites on Anti-Graffiti Effect of Paint Coating

Materials, 2024-05, Vol.17 (9), p.1951

2024

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What Will the Future of Cybersecurity Bring Us, and Will It Be Ethical? The Hunt for the Black Swans of Cybersecurity Ethics

IEEE access, 2023, Vol.11, p.58796-58807

2023

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Detection of Cyberattacks Traces in IoT Data

J.UCS (Annual print and CD-ROM archive ed.), 2020-11, Vol.26 (11), p.1422-1434

2020

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Towards Zero-Shot Flow-Based Cyber-Security Anomaly Detection Framework

Applied sciences, 2022-10, Vol.12 (19), p.9636

2022

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The Application of Deep Learning Imputation and Other Advanced Methods for Handling Missing Values in Network Intrusion Detection

Vietnam journal of computer science, 2023-02, Vol.10 (1), p.1-23

2023

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Intrusion detection approach based on optimised artificial neural network

Neurocomputing (Amsterdam), 2021-09, Vol.452, p.705-715

2021

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Defending network intrusion detection systems against adversarial evasion attacks

Future generation computer systems, 2020-09, Vol.110, p.148-154

2020

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A survey on neural networks for (cyber-) security and (cyber-) security of neural networks

Neurocomputing (Amsterdam), 2022-08, Vol.500, p.1075-1087

2022

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Common Representational Model and Ontologies for Effective Law Enforcement Solutions

Vietnam journal of computer science, 2020-02, Vol.7 (1), p.1-18

2020

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Advanced insights through systematic analysis: Mapping future research directions and opportunities for xAI in deep learning and artificial intelligence used in cybersecurity

Neurocomputing (Amsterdam), 2024-07, Vol.590, p.127759, Article 127759

2024

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The survey and meta-analysis of the attacks, transgressions, countermeasures and security aspects common to the Cloud, Edge and IoT

Neurocomputing (Amsterdam), 2023-09, Vol.551, p.126533, Article 126533

2023

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When explainability turns into a threat - using xAI to fool a fake news detection method

Computers & security, 2024-02, Vol.137, p.103599, Article 103599

2024

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First broad and systematic horizon scanning campaign and study to detect societal and ethical dilemmas and emerging issues spanning over cybersecurity solutions

Personal and ubiquitous computing, 2023-04, Vol.27 (2), p.193-202

2023

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Human-driven and human-centred cybersecurity: policy-making implications

Transforming government, 2022-10, Vol.16 (4), p.478-487

2022

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A Meta-Analysis of State-of-the-Art Automated Fake News Detection Methods

IEEE transactions on computational social systems, 2024, p.1-11

2024

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Cost-Sensitive Distributed Machine Learning for NetFlow-Based Botnet Activity Detection

Security and communication networks, 2018-01, Vol.2018, p.1-8

2018

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The Feasibility of Deep Learning Use for Adversarial Model Extraction in the Cybersecurity Domain

Intelligent Data Engineering and Automated Learning – IDEAL 2019, p.353-360

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A Deep Learning Ensemble for Network Anomaly and Cyber-Attack Detection

A new method of hybrid time window embedding with transformer-based traffic data classification in IoT-networked environment

Sensors and Pattern Recognition Methods for Security and Industrial Applications

A Systematic Review of Recommender Systems and Their Applications in Cybersecurity

The stray sheep of cyberspace a.k.a. the actors who claim they break the law for the greater good

Deep Learning for Combating Misinformation in Multicategorical Text Contents

Tight Arms Race: Overview of Current Malware Threats and Trends in Their Detection

The Proposition and Evaluation of the RoEduNet-SIMARGL2021 Network Intrusion Detection Dataset

The Influence of Surface Texture of Elements Made of PA6-Based Composites on Anti-Graffiti Effect of Paint Coating

What Will the Future of Cybersecurity Bring Us, and Will It Be Ethical? The Hunt for the Black Swans of Cybersecurity Ethics

Detection of Cyberattacks Traces in IoT Data

Towards Zero-Shot Flow-Based Cyber-Security Anomaly Detection Framework

The Application of Deep Learning Imputation and Other Advanced Methods for Handling Missing Values in Network Intrusion Detection

Intrusion detection approach based on optimised artificial neural network

Defending network intrusion detection systems against adversarial evasion attacks

A survey on neural networks for (cyber-) security and (cyber-) security of neural networks

Common Representational Model and Ontologies for Effective Law Enforcement Solutions

Advanced insights through systematic analysis: Mapping future research directions and opportunities for xAI in deep learning and artificial intelligence used in cybersecurity

The survey and meta-analysis of the attacks, transgressions, countermeasures and security aspects common to the Cloud, Edge and IoT

When explainability turns into a threat - using xAI to fool a fake news detection method

First broad and systematic horizon scanning campaign and study to detect societal and ethical dilemmas and emerging issues spanning over cybersecurity solutions

Human-driven and human-centred cybersecurity: policy-making implications

A Meta-Analysis of State-of-the-Art Automated Fake News Detection Methods

Cost-Sensitive Distributed Machine Learning for NetFlow-Based Botnet Activity Detection

The Feasibility of Deep Learning Use for Adversarial Model Extraction in the Cybersecurity Domain

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