Mikolaj Komisarek

According to our database, Mikolaj Komisarek authored at least 12 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2024

Enhancing Network Security Through Granular Computing: A Clustering-by-Time Approach to NetFlow Traffic Analysis.

Mikolaj Komisarek, Marek Pawlicki, Salvatore D'Antonio, Rafal Kozik, Aleksandra Pawlicka, Michal Choras

Proceedings of the 19th International Conference on Availability, Reliability and Security, 2024

2023

Modern NetFlow network dataset with labeled attacks and detection methods.

Mikolaj Komisarek, Marek Pawlicki, Tomi Simic, David Kavcnik, Rafal Kozik, Michal Choras

Proceedings of the 18th International Conference on Availability, Reliability and Security, 2023

2022

Hunting cyberattacks: experience from the real backbone network.

Mikolaj Komisarek, Marek Pawlicki, Mikolaj Kowalski, Adrian Marzecki, Rafal Kozik, Michal Choras

J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl., 2022

The IoT Threat Landscape vs. Machine Learning, a.k.a. Who Attacks IoT, Why Do They Do It, and How to Prevent It?

Marek Pawlicki, Aleksandra Pawlicka, Mikolaj Komisarek, Rafal Kozik, Michal Choras

Proceedings of the Information Systems Development: Artificial Intelligence for Information Systems Development and Operations (ISD2022 Proceedings), Cluj-Napoca, Romania, 31 August, 2022

A novel, refined dataset for real-time Network Intrusion Detection.

Mikolaj Komisarek, Marek Pawlicki, Maria-Elena Mihailescu, Darius Mihai, Mihai Carabas, Rafal Kozik, Michal Choras

Proceedings of the ARES 2022: The 17th International Conference on Availability, Reliability and Security, Vienna,Austria, August 23, 2022

2021

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

Maria-Elena Mihailescu, Darius Mihai, Mihai Carabas, Mikolaj Komisarek, Marek Pawlicki, Witold Holubowicz, Rafal Kozik

Sensors, 2021

Machine Learning Based Approach to Anomaly and Cyberattack Detection in Streamed Network Traffic Data.

Mikolaj Komisarek, Marek Pawlicki, Rafal Kozik, Michal Choras

J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl., 2021

How to Effectively Collect and Process Network Data for Intrusion Detection?

Mikolaj Komisarek, Marek Pawlicki, Rafal Kozik, Witold Holubowicz, Michal Choras

Entropy, 2021

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

Mateusz Szczepanski, Mikolaj Komisarek, Marek Pawlicki, Rafal Kozik, Michal Choras

Proceedings of the Advances in Computational Collective Intelligence, 2021

Extending Machine Learning-Based Intrusion Detection with the Imputation Method.

Mikolaj Komisarek, Marek Pawlicki, Piotr Sobonski, Aleksandra Pawlicka, Rafal Kozik, Michal Choras

Proceedings of the Progress in Image Processing, Pattern Recognition and Communication Systems, 2021

Network Intrusion Detection in the Wild - the Orange use case in the SIMARGL project.

Mikolaj Komisarek, Marek Pawlicki, Mikolaj Kowalski, Adrian Marzecki, Rafal Kozik, Michal Choras

Proceedings of the ARES 2021: The 16th International Conference on Availability, 2021

2020

Real-time stream processing tool for detecting suspicious network patterns using machine learning.

Mikolaj Komisarek, Michal Choras, Rafal Kozik, Marek Pawlicki

Proceedings of the ARES 2020: The 15th International Conference on Availability, 2020