This folder summarizes publications related to the PROBoter platform. If you would like to reference our work in a research publication, you can also find the corresponding BibTex entries here.
Master's thesis on automation of hardware-related security analyzes of embedded systems. In this thesis the PROBoter platform is introduced for the first time.
Original title (German): Automatisierung der hardwarenahen Sicherheitsanalyse von eingebetteten Systemen.
URL: https://github.com/schutzwerk/PROBoter/blob/master/publications/PROBoter_thesis.pdf
Keywords:
- Security Analysis
- Embedded Systems
- Visual PCB Analysis
- Neuronal Networks
- Automated Probing
- German
Citation:
@MastersThesis {Weber2019,
author = {Fabian Alexander Weber},
title = {Automatisierung der hardwarenahen Sicherheitsanalyse von eingebetteten Systemen},
institution = {Hochschule Kempten},
year = {2019},
date = {2019-09-16},
url = {https://github.com/schutzwerk/PROBoter},
}
Official PROBoter paper published at escar Europe 2021. The paper describes an updated version the PROBoter platform. Besides the hardware and visual PCB analysis functionality, also the great work of Florian Schmid focusing on automated voltage signal analysis and protocol detection is summarized in this paper.
URL: https://doi.org/10.13154/294-8348
Keywords:
- Embedded Security
- Hardware Security
- Penetration Testing
- Reverse Engineering
- Automated Probe Testing
Citation
@incollection{WeberSchmidKoeningsetal.2021,
author = {Fabian Weber and Florian Schmid and Bastian K{\"o}nings and Henning Kopp},
title = {PROBoter - Automating PCB analysis tasks to support penetration tests of embedded systems},
booktitle = {19\(^{th}\) escar Europe : The World's Leading Automotive Cyber Security Conference (Konferenzver{\"o}ffentlichung)},
doi = {10.13154/294-8348},
year = {2021},
}
Bachelor's thesis created by Marco Günther in cooperation with SCHUTZWERK GmbH. It extends existing and new PCB image data sets with new sub-categories for integrated circuits allowing the identification of their respective package. Additionally, four categories for passive and miscellaneous electric components are introduced. The thesis also proposes optimized configurations for selected Neural Networks to analyze populated PCB image data.
URL: http://dx.doi.org/10.18725/OPARU-40107
Keywords:
- Machine learning
- Computer vision
- Labels
- Labeling
- Annotations
- IT-Security
- Object detection
- Printed circuit boards
- Image datasets
- Embedded hardware
Citation
@article{Günther_2021,
title = {Visual analysis of printed circuit boards},
url = {https://oparu.uni-ulm.de/xmlui/handle/123456789/40183},
DOI = {10.18725/OPARU-40107},
journal = {Universität Ulm},
publisher = {Universität Ulm},
author = {Günther, Marco},
year = {2021}
}
This Master's thesis by Florian Schmid, which was also created in cooperation with SCHUTZWERK GmbH, describes an algorithm to evaluate voltages which occur on an assessed PCB. The algorithm attempts to identify the functionality, originating protocol and protocol transmission parameters of a measured voltage dataset. While the previous publications established the hardware and visual analysis capability of the PROBoter, this thesis extends its functionality by the evaluation of voltage signals.
URL: https://doi.org/10.13154/294-9031
Keywords:
- IT-Security
- Embedded hardware
- Printed circuit boards
- Black box penetration testing
- Reverse Engineering
- Physical protocols
- Protocol characterization
- Automated signal analysis
- Statistical analysis
- Delta Analysis
Citation
@mastersthesis{Schmid2022,
author = {Florian Schmid},
title = {Algorithm for identification of bus protocols},
type = {masterthesis},
school = {Ruhr-Universit{\"a}t Bochum, Universit{\"a}tsbibliothek},
year = {2022},
}