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Mikolaj Komisarek
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Journal Articles
- 2022
- [j4]Mikolaj Komisarek, Marek Pawlicki, Mikolaj Kowalski
, Adrian Marzecki, Rafal Kozik, Michal Choras:
Hunting cyberattacks: experience from the real backbone network. J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl. 13(2): 128-146 (2022) - 2021
- [j3]Mikolaj Komisarek
, Marek Pawlicki
, Rafal Kozik
, Witold Holubowicz, Michal Choras
:
How to Effectively Collect and Process Network Data for Intrusion Detection? Entropy 23(11): 1532 (2021) - [j2]Mikolaj Komisarek, Marek Pawlicki
, Rafal Kozik, Michal Choras:
Machine Learning Based Approach to Anomaly and Cyberattack Detection in Streamed Network Traffic Data. J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl. 12(1): 3-19 (2021) - [j1]Maria-Elena Mihailescu, Darius Mihai, Mihai Carabas, Mikolaj Komisarek, Marek Pawlicki
, Witold Holubowicz, Rafal Kozik:
The Proposition and Evaluation of the RoEduNet-SIMARGL2021 Network Intrusion Detection Dataset. Sensors 21(13): 4319 (2021)
Conference and Workshop Papers
- 2024
- [c8]Mikolaj Komisarek
, Marek Pawlicki
, Salvatore D'Antonio
, Rafal Kozik
, Aleksandra Pawlicka
, Michal Choras
:
Enhancing Network Security Through Granular Computing: A Clustering-by-Time Approach to NetFlow Traffic Analysis. ARES 2024: 93:1-93:8 - 2023
- [c7]Mikolaj Komisarek
, Marek Pawlicki
, Tomi Simic
, David Kavcnik
, Rafal Kozik
, Michal Choras
:
Modern NetFlow network dataset with labeled attacks and detection methods. ARES 2023: 47:1-47:8 - 2022
- [c6]Mikolaj Komisarek, Marek Pawlicki, Maria-Elena Mihailescu, Darius Mihai, Mihai Carabas, Rafal Kozik, Michal Choras:
A novel, refined dataset for real-time Network Intrusion Detection. ARES 2022: 43:1-43:8 - [c5]Marek Pawlicki, Aleksandra Pawlicka, Mikolaj Komisarek, Rafal Kozik, Michal Choras:
The IoT Threat Landscape vs. Machine Learning, a.k.a. Who Attacks IoT, Why Do They Do It, and How to Prevent It? ISD 2022 - 2021
- [c4]Mikolaj Komisarek, Marek Pawlicki
, Mikolaj Kowalski
, Adrian Marzecki, Rafal Kozik, Michal Choras:
Network Intrusion Detection in the Wild - the Orange use case in the SIMARGL project. ARES 2021: 65:1-65:7 - [c3]Mikolaj Komisarek, Marek Pawlicki
, Piotr Sobonski, Aleksandra Pawlicka, Rafal Kozik, Michal Choras:
Extending Machine Learning-Based Intrusion Detection with the Imputation Method. CORES/IP&C/ACS 2021: 284-292 - [c2]Mateusz Szczepanski
, Mikolaj Komisarek, Marek Pawlicki
, Rafal Kozik
, Michal Choras
:
The Proposition of Balanced and Explainable Surrogate Method for Network Intrusion Detection in Streamed Real Difficult Data. ICCCI (CCIS Volume) 2021: 241-252 - 2020
- [c1]Mikolaj Komisarek, Michal Choras, Rafal Kozik
, Marek Pawlicki
:
Real-time stream processing tool for detecting suspicious network patterns using machine learning. ARES 2020: 60:1-60:7
Coauthor Index
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