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

About me

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.

Research Interests

My research interests encompass the domain of network security, where I particularly consider the question of intrusion detection in cyber-physical systems using methods from artificial intelligence.

Projects

I am involved in the KISS_KI and WAIKIKI projects, where our goal is to develop artificial intelligence (AI)-based attack detection algorithms to be used for network monitoring in critical infrastructures. In doing so, we consider not only the accuracy of our detection, but also how the results of integrated neural networks and conventional machine learning techniques can be presented and explained to humans with non-specialist knowledge of the underlying algorithms.

Publications

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