
Academic Staff
Marco Lewandowsky, M.Sc.
VG 1C, room 2.14
T: +49 (0) 355 69 3762
F: +49 (0) 355 69 2127
marco.lewandowsky(at)b-tu.de
I am a junior researcher at the Chair of IT security. I have received my Bachelor’s and Master’s degree in Applied Computer Science from Flensburg University of Applied Sciences.
My research interests encompass industrial network security, with a particular focus on intrusion detection in cyber-physical systems, both with and without the use of machine learning methods, as well as the investigation of various security aspects of cellular communication networks.
Currently, I am involved with the Control Systems and Cyber Security Lab (COSYS) as part of the Energy Innovation Center (EIC), which addresses cybersecurity challenges in the transition toward secure energy systems. My work in this project focuses on investigating communication protocols, behavior, and characteristics of Industrial Control Systems (ICS), particularly in the energy domain, and on identifying new approaches for detecting network attacks.
Prior to this, I worked on the KISS_KI and WAIKIKI projects, both of which focused on developing AI-based attack detection algorithms for network monitoring in critical infrastructures.
Poster: characterization of dominant and specific network patterns in industrial control systems
- Author(s)
- Mitseva, Asya, Lewandowsky, Marco, Panchenko, Andriy
- Type
- image
- Year of publication
- 2025
- Publisher name
- Piscataway, NJ : IEEE
- Industrial Control Systems; Traffic Patterns
- ISBN
- 979-8-3315-7842-8
- DOI
- https://doi.org/10.1109/NCA67271.2025.00059
Trustless, Censorship-Resilient and Scalable Votings in the Permission-Based Blockchain Model
- Author(s)
- Gajek, Sebastian, Lewandowsky, Marco
- Type
- Conference Proceeding refering
- Year of publication
- 2021
- Publisher name
- Springer
- Voting; Functional encryption; Blockchain; Hyperledger
- Source
- Euro-Par 2020 International Workshops, Warsaw, Poland, August 24–25, 2020, Revised Selected Papers, S. 54 - 65
- ISBN
- 978-3-030-71592-2
- 978-3-030-71593-9
- DOI
- https://doi.org/10.1007/978-3-030-71593-9_5
- Lecture Notes in Computer Science (LNCS) ; volume 12480
