Iwona Kostorz

dblp:236/8834 · DBLP profile ↗
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2ranked-venue papers in the field
0as first author
2since 2021 · last 2025
0000-0002-5471-0919ORCID · reported

Domains — venue-derived; a paper can count in several

Big Data, Cloud & Distributed Data Systems · 2
YearPublicationVenuePosition
2025 Information Granulation for Hierarchical Feature Selection in Detection of Anomalies in IoT Devices
Lukasz Wawrowski, Konrad Chwelatiuk, Marcin Michalak 0001, Iwona Kostorz, Dominik Slezak, Piotr Biczyk, Blazej Adamczyk, Maksym Brzeczek
IEEE Big Data4
2022 Dataset Generation Framework for Evaluation of IoT Linux Host-Based Intrusion Detection Systems
abstract
As the IoT industry strongly extends there is a need for better security and threat detection tools. Many approaches are possible but the tendency is to detect attacks externally by using network traffic analysis. Network based intrusion detection could lead to satisfactory results however it is uncertain if host based methods would not give better results as IoT devices usually have repeatable and predictable behavior. Unfortunately host based detection methods can neither be directly compared against each other nor be compared to network based systems as there are no publicly available data sets with IoT device operating system traces. In this paper we propose and describe a framework which allows for emulation of IoT devices, simulation of random attacks and gathering of the operating system traces for Linux based IoT devices. We also publish the first gathered data set and we plan to release new extended data sets in near future.
Blazej Adamczyk, Maksym Brzeczek, Marcin Michalak 0001, Iwona Kostorz, Lukasz Wawrowski, Marek Hermansa, Michal Czerwinski, Antoni Jamiolkowski
IEEE Big Data4