Contact

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Communication

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Matthias Matousek

I have been studying Computer Sciene in Media at the University of Ulm until the summer of 2015. I also spent one year of my studies (2013-2014) in the Netherlands where I visited lectures at three different universities: University of Twente, Eindhoven University of Technology, and Radboud Unversity Nijmegen. The lectures were part of the Kerckhoffs Institute for Computer Security. For my Master's Thesis I was working on a secure processor called Secure Execution PUF-based Processor (SEPP). In summer 2015 I joined the Institute of Distributed Systems, where I am now working as a research assistant.

Research

I am generally interested in security and privacy of IT systems. Specifically, I am working on the privacy of interconnected vehicles. Furthermore, I am interested in enabling private communication (such as cryptography in messenger services) in a user-friendly way.

Teaching

Project

Seminars

Theses

I gladly supervise bachelor's, master's and diploma theses that fit into my research interests. My currently available topics for thesis and projects are listed below. Ongoing and completed thesis can be viewed here.

Available Thesis Topics

Matousek, Matthias
Driving Behaviour Analysis
Bachelor Thesis, Master Thesis, Project
Institute of Distributed Systems, Ulm University,
2018
in preparation

Abstract: Connected cars (cars that communicate with a backend) enable numerous interesting and useful applications, such as remote status checking, geofencing applications, or even remote control functionality. However, the backend operator — usually the car manufacturer — potentially gains access to very sensitive information about the users. To investigate the privacy issues, the goal of this thesis or project is to collect data from a vehicle's debugging port and other sensors, such as a smartphone's accelerometers. The collected data should then be analysed to demonstrate the privacy impact. This could include the training of classification algorithms to recognize drivers by their driving styles, or to detect abnormal events in the data traces.

Matousek, Matthias
Optimizing Privacy-Preserving Machine Learning Algorithms
Bachelor Thesis, Master Thesis, Project
Institute of Distributed Systems, Ulm University,
2018
in preparation

Abstract: In recent times, Machine Learning is being used for countless applications. It can assist by providing classification, prediction, or anomaly detection. Since many Machine Learning tasks operate on large amounts of data, it is seems natural to utilize cloud computing services. However, this has huge impacts on privacy, as soon as sensitive data is involved. The goal of this thesis or project is to work on efficient machine learning algorithms. This can be the improvement of previous work, or developing new methods to achieve privacy or efficiency goals.

Matousek, Matthias
Privacy Protection Mechanisms for Machine Learning
Bachelor Thesis, Master Thesis, Project
Institute of Distributed Systems, Ulm University,
2018
in preparation

Abstract: Machine Learning provides many opportunities, but at the same time constitutes a huge risk for privacy. The goal of this thesis or project is to investigate the privacy risks, and devise appropriate privacy-protection measures. Previous work in this area exists and can be used as a bases.

Matousek, Matthias
Machine Learning on Encrypted Data
Bachelor Thesis, Master Thesis, Project
Institute of Distributed Systems, Ulm University,
2018
in preparation

Abstract: Encryption is one of the most reliable techniques for protecting information. However, once data is encrypted, using it becomes very difficult. Goal of this thesis or project, is to explore how Machine Learning algorithms can be designed to be able to deal with encrypted data. Firstly, a survey of existing mechanisms should be conducted. In a second part, algorithms will be comparatively implemented, or own encryption mechanisms introduced.

Publications


2018

Matousek, Matthias; Yassin, Mahmoud; Al-Momani, Ala'a; van der Heijden, Rens W.; Kargl, Frank
Robust Detection of Anomalous Driving Behavior
IEEE 87th Vehicular Technology Conference (VTC)
June 2018
accepted

2016

Berlin, Olga; Held, Albert; Matousek, Matthias; Kargl, Frank
POSTER: Anomaly-Based Misbehaviour Detection in Connected Car Backends
2016 IEEE Vehicular Networking Conference (VNC)
October 2016
Matousek, Matthias; Bösch, Christoph; Kargl, Frank
Using Searchable Encryption to Protect Privacy in Connected Cars
Proceedings of the 4th GI/ITG KuVS Fachgespräch Inter-Vehicle Communication
2016

2015

Kleber, Stephan; Unterstein, Florian; Matousek, Matthias; Kargl, Frank; Slomka, Frank; Hiller, Matthias
Design of the Secure Execution PUF-based Processor (SEPP)
Workshop on Trustworthy Manufacturing and Utilization of Secure Devices, TRUDEVICE 2015
September 2015
Kleber, Stephan; Unterstein, Florian; Matousek, Matthias; Kargl, Frank; Slomka, Frank; Hiller, Matthias
Secure Execution Architecture based on PUF-driven Instruction Level Code Encryption
IACR,
July 2015

2012

Nikolov, Vladimir; Matousek, Matthias; Rautenbach, Dieter; Draque Penso, Lucia; Hauck, Franz J.
ARTOS: System Model and Optimization Algorithm
Document number: VS-R08-2012
Institute of Distributed Systems, University of Ulm,
December 2012
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