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Effective Rules for a Rule-Based SIEM System in Detecting DoS Attacks: An Association Rule Mining Approach

Applied Intelligence, p.236-246

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The Rise of AI-Powered Writing: How ChatGPT is Revolutionizing Scientific Communication for Better or for Worse

Applied Intelligence, p.317-327

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Hybrid Model for Improving the Classification Effectiveness of Network Intrusion Detection

13th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2020), p.405-414

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The Proposition of Balanced and Explainable Surrogate Method for Network Intrusion Detection in Streamed Real Difficult Data

Advances in Computational Collective Intelligence, p.241-252

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Parameters Transfer Framework for Multi-domain Fake News Detection

Mobile Internet Security, p.85-96

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Explainable Artificial Intelligence 101: Techniques, Applications and Challenges

Advanced Intelligent Computing Technology and Applications, p.310-318

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Fake News and Threats to IoT—The Crucial Aspects of Cyberspace in the Times of Cyberwar

Research and Innovation Forum 2022, p.31-38

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How to Boost Machine Learning Network Intrusion Detection Performance with Encoding Schemes

Computer Information Systems and Industrial Management, p.283-297

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Not Only Security and Privacy: The Evolving Ethical and Legal Challenges of E-Commerce

Computer Security. ESORICS 2023 International Workshops, p.167-181

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Artificial Neural Network Hyperparameter Optimisation for Network Intrusion Detection

Intelligent Computing Theories and Application, 2019, Vol.11643, p.749-760

2019

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Analysis and Detection of DDoS Backscatter Using NetFlow Data, Hyperband-Optimised Deep Learning and Explainability Techniques

Artificial Intelligence and Soft Computing, p.82-92

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Distributed Architecture for Fake News Detection

13th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2020), p.208-217

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Research and Innovation Forum 2022: Rupture, Resilience and Recovery in the Post-Covid World

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Proposition of Innovative and Scalable Information System for Call Detail Records Analysis and Visualisation

13th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2020), p.174-183

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Software Development Metrics Prediction Using Time Series Methods

Computer Information Systems and Industrial Management, 2019, p.311-323

2019

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The Impact of Data Scaling Approaches on Deep Learning, Random Forest and Nearest Neighbour-Based Network Intrusion Detection Systems for DoS Detection in IoT Networks

Mobile Internet Security, p.197-208

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A Novel Approach to the Use of Explainability to Mine Network Intrusion Detection Rules

Intelligent Information and Database Systems, p.70-81

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Using Machine Learning to Detect the Signs of Radicalization and Hate Speech on Twitter

Progress in Image Processing, Pattern Recognition and Communication Systems, p.210-218

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Involving Society to Protect Society from Fake News and Disinformation: Crowdsourced Datasets and Text Reliability Assessment

Intelligent Information and Database Systems, p.384-395

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ULTIMATE Project Toolkit for Robotic AI-Based Data Analysis and Visualization

Intelligent Information and Database Systems, p.44-55

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Effective Rules for a Rule-Based SIEM System in Detecting DoS Attacks: An Association Rule Mining Approach

The Rise of AI-Powered Writing: How ChatGPT is Revolutionizing Scientific Communication for Better or for Worse

Hybrid Model for Improving the Classification Effectiveness of Network Intrusion Detection

The Proposition of Balanced and Explainable Surrogate Method for Network Intrusion Detection in Streamed Real Difficult Data

Parameters Transfer Framework for Multi-domain Fake News Detection

Explainable Artificial Intelligence 101: Techniques, Applications and Challenges

Fake News and Threats to IoT—The Crucial Aspects of Cyberspace in the Times of Cyberwar

How to Boost Machine Learning Network Intrusion Detection Performance with Encoding Schemes

Not Only Security and Privacy: The Evolving Ethical and Legal Challenges of E-Commerce

Artificial Neural Network Hyperparameter Optimisation for Network Intrusion Detection

Analysis and Detection of DDoS Backscatter Using NetFlow Data, Hyperband-Optimised Deep Learning and Explainability Techniques

Distributed Architecture for Fake News Detection

Research and Innovation Forum 2022: Rupture, Resilience and Recovery in the Post-Covid World

Proposition of Innovative and Scalable Information System for Call Detail Records Analysis and Visualisation

Software Development Metrics Prediction Using Time Series Methods

Interpreting Intrusions - The Role of Explainability in AI-Based Intrusion Detection Systems

Cyber-Attack Detection from IoT Benchmark Considered as Data Streams

SWAROG Project Approach to Fake News Detection Problem

Extending Machine Learning-Based Intrusion Detection with the Imputation Method

The Impact of Data Scaling Approaches on Deep Learning, Random Forest and Nearest Neighbour-Based Network Intrusion Detection Systems for DoS Detection in IoT Networks

A Novel Approach to the Use of Explainability to Mine Network Intrusion Detection Rules

Using Machine Learning to Detect the Signs of Radicalization and Hate Speech on Twitter

Involving Society to Protect Society from Fake News and Disinformation: Crowdsourced Datasets and Text Reliability Assessment

ULTIMATE Project Toolkit for Robotic AI-Based Data Analysis and Visualization

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