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Mikołaj Komisarek

The Proposition and Evaluation of the RoEduNet-SIMARGL2021 Network Intrusion Detection Dataset
2021 · Maria-Elena Mihailescu, Darius Mihai, et al. · Sensors · 51
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How to Effectively Collect and Process Network Data for Intrusion Detection?
2021 · Mikołaj Komisarek, Marek Pawlicki, et al. · Entropy · 25
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Machine Learning Based Approach to Anomaly and Cyberattack Detection in Streamed Network Traffic Data.
2021 · Mikołaj Komisarek, Marek Pawlicki, et al. · Journal of Wireless Mobile Networks Ubiquitous Computing and Dependable Applications · 25
Towards Zero-Shot Flow-Based Cyber-Security Anomaly Detection Framework
2022 · Mikołaj Komisarek, Rafał Kozik, et al. · Applied Sciences · 17
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Modern NetFlow network dataset with labeled attacks and detection methods
2023 · Mikołaj Komisarek, Marek Pawlicki, et al. · International Conference on Availability, Reliability and Security (ARES) · 14
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Real-time stream processing tool for detecting suspicious network patterns using machine learning
2020 · Mikołaj Komisarek, Michał Choraś, et al. · International Conference on Availability, Reliability and Security (ARES) · 11
A novel, refined dataset for real-time Network Intrusion Detection
2022 · Mikołaj Komisarek, Marek Pawlicki, et al. · International Conference on Availability, Reliability and Security (ARES) · 7
Network Intrusion Detection in the Wild - the Orange use case in the SIMARGL project
2021 · Mikołaj Komisarek, Marek Pawlicki, et al. · International Conference on Availability, Reliability and Security (ARES) · 6
The Proposition of Balanced and Explainable Surrogate Method for Network Intrusion Detection in Streamed Real Difficult Data
2021 · Mateusz Szczepanski, Mikołaj Komisarek, et al. · Communications in computer and information science · 5
Enhancing Network Security Through Granular Computing: A Clustering-by-Time Approach to NetFlow Traffic Analysis
2024 · Mikołaj Komisarek, Marek Pawlicki, et al. · International Conference on Availability, Reliability and Security (ARES) · 3
The IoT Threat Landscape vs. Machine Learning, a.k.a. Who Attacks IoT, Why Do They Do It, and How to Prevent It?
2022 · Marek Pawlicki, Aleksandra Pawlicka, et al. · Proceedings of the International Conference on Information Systems Development · 3
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ExpLEA-AIner: Proposition and Development of the Model-Driven Approach to Incorporating Explainable AI in Network Intrusion Detection Systems for Law Enforcement Agencies
2025 · Marek Pawlicki, Aleksandra Pawlicka, et al. · Lecture notes in business information processing · 1
Extending Machine Learning-Based Intrusion Detection with the Imputation Method
2021 · Mikołaj Komisarek, Marek Pawlicki, et al. · Lecture notes in networks and systems · 1
Works count: 14
Citation count: 169
H-index: 7
I10-index: 6
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