Thesis Topics

On this page, you will find a list of available thesis topics that are available in our institute. Information about on-going and past theses can be found on this page. Some of the thesis descriptions are in German.

Note that because many of our topics are issued in German, some of the descriptions on this page are also German only. We are currently working on providing complete translations.

Open Theses

“De-Anonymization Attacks on Empirical Research Data,” Master's thesis, B. Erb (Supervisor), F. Kargl (Examiner), Inst. of Distr. Sys., Ulm Univ., 2021 – Open.
Initiatives such as the Open Science Framework promote the publication of raw data sets for empirical research as found in psychology and other related disciplines. Although these data sets are usually pseudonymized or anonymized, there is a risk of de-anonymization due to linkage of data sets and potential external data sources. This work should explore this issue and demonstrate the feasability of such attacks based on synthetic and/or real data sets.
“Konzeption und Entwicklung interaktiver Lerninhalte in der Rechnernetze-Lehre,” Bachelor's thesis, Master's thesis, B. Erb (Supervisor), F. Kargl (Examiner), Inst. of Distr. Sys., Ulm Univ., 2021 – Open.
Diese Abschlussarbeit richtet sich primäre an Studierende des Lehramts. In dieser Arbeit sollen Lerninhalte konzipiert und umgesetzt werden, die die Lehre im Fach 'Grundlagen der Rechnernetze' ergänzen. Im Rahmen des Blended Learning Konzepts der Lehrveranstaltung geht es insbesondere um interaktive Labs, Visualisierungen und Tools zur Vertiefung der Inhalte, die die Studierenden remote verwenden können.
“Test-based Validation of Network Programming Tasks,” Project, D. Meißner (Supervisor), F. Kargl (Examiner), Inst. of Distr. Sys., Ulm Univ., 2021 – Open.
We have a collection of Java programming tasks as part of our introduction to computer networks course. In these programming tasks students are instructed to implement network applications matching a strict set of rules. The goal of this project is to implement a rule-based testing framework to aid the grading of such programming tasks and providing immediate feedback to students whether their implementation is correct or not.
“The impact of privacy in Vehicular Edge Computing,” Bachelor's thesis, Master's thesis, Project, M. Wolf (Supervisor), Inst. of Distr. Sys., Ulm Univ., 2021 – Open.
Modern vehicles will communicate with their environment using Vehicular Ad Hoc Networks (VANET) sending out regular status beacons or warning messages. Those are collected by Road Side Units (RSU) and will be combined with other data, like weather or information from the backend. With this data certain calculations can be performed (e.g. predicting the vehicle density). Furthermore, vehicles may transfer additional data, which is too resource intensive to calculate for themselves, to the RSUs . This process of transmitting data for expensive calculations is called Edge Computing. Currently a lot of work focuses on the benefits and possible applications of VEC, as well as on how PETS can be implemented. But little research is done how privacy techniques impact VEC and safety. In this project/thesis, you have to implement one or more PETS (depending on ECTS) in a VANET simulation framework (Plexe/Veins) and analyze its impact.
“Efficient Updating of a Network-Protocol-Model with Message-Format Refinements,” Bachelor's or Master's thesis, S. Kleber (Supervisor), F. Kargl (Examiner), Institut of Distributed Systems, Ulm University, 2019 – Open.
Security assessments of networked systems require knowledge about the utilized communication protocol. For proprietary protocols without known specification and with only limited access to the end-points, the only source of information is the communication itself. To correctly conclude from the captured byte stream to message-formats, -types, and finally a protocol model, structure, message- and field-boundaries, data-type, and semantics need to be inferred.After an initial inference procedure, it is desirable to refine the existing protocol model. Additional information gained by recorded network traffic needs to be incorporated by recognizing the appropriate parts of the model. The modeled knowledge is to be extended depending on the applicable information inferable from the new trace.
“Test-Case-Generation Strategies for Network-Protocol-Model Refinements,” Bachelor's or Master's thesis, S. Kleber (Supervisor), F. Kargl (Examiner), Institut of Distributed Systems, Ulm University, 2019 – Open.
Security assessments of networked systems require knowledge about the utilized communication protocol. For proprietary protocols without known specification and with only limited access to the end-points, the only source of information is the communication itself. To correctly conclude from the captured byte stream to message-formats, -types, and finally a protocol model, structure, message- and field-boundaries, data-type, and semantics need to be inferred.After an initial inference procedure, it is desirable to refine the existing protocol model. Actively probing an entity for the validity of message syntaxes allows to targetedly enhance the knowledge about the protocol. To do this efficiently a smart method of automatically generating test-cases depending on the current protocol model needs to be developed.

Old news can be found in the archive.

Contact

Secretary's Office

Marion Köhler
Claudia Kastner
E-Mail
Phone: +49 731 50-24140
Fax: +49 731 50-24142

Postal Address

Institute of Distributed Systems
Ulm University
Albert-Einstein-Allee 11
89081 Ulm

Visiting Address

James-Franck-Ring
Gebäude O27, Raum 349
89081 Ulm

Directions

Topics By Degree

Bachelor's Theses

“Konzeption und Entwicklung interaktiver Lerninhalte in der Rechnernetze-Lehre,” Bachelor's thesis, Master's thesis, B. Erb (Supervisor), F. Kargl (Examiner), Inst. of Distr. Sys., Ulm Univ., 2021 – Open.
Diese Abschlussarbeit richtet sich primäre an Studierende des Lehramts. In dieser Arbeit sollen Lerninhalte konzipiert und umgesetzt werden, die die Lehre im Fach 'Grundlagen der Rechnernetze' ergänzen. Im Rahmen des Blended Learning Konzepts der Lehrveranstaltung geht es insbesondere um interaktive Labs, Visualisierungen und Tools zur Vertiefung der Inhalte, die die Studierenden remote verwenden können.
“Test-based Validation of Network Programming Tasks,” Project, D. Meißner (Supervisor), F. Kargl (Examiner), Inst. of Distr. Sys., Ulm Univ., 2021 – Open.
We have a collection of Java programming tasks as part of our introduction to computer networks course. In these programming tasks students are instructed to implement network applications matching a strict set of rules. The goal of this project is to implement a rule-based testing framework to aid the grading of such programming tasks and providing immediate feedback to students whether their implementation is correct or not.
“The impact of privacy in Vehicular Edge Computing,” Bachelor's thesis, Master's thesis, Project, M. Wolf (Supervisor), Inst. of Distr. Sys., Ulm Univ., 2021 – Open.
Modern vehicles will communicate with their environment using Vehicular Ad Hoc Networks (VANET) sending out regular status beacons or warning messages. Those are collected by Road Side Units (RSU) and will be combined with other data, like weather or information from the backend. With this data certain calculations can be performed (e.g. predicting the vehicle density). Furthermore, vehicles may transfer additional data, which is too resource intensive to calculate for themselves, to the RSUs . This process of transmitting data for expensive calculations is called Edge Computing. Currently a lot of work focuses on the benefits and possible applications of VEC, as well as on how PETS can be implemented. But little research is done how privacy techniques impact VEC and safety. In this project/thesis, you have to implement one or more PETS (depending on ECTS) in a VANET simulation framework (Plexe/Veins) and analyze its impact.
“Efficient Updating of a Network-Protocol-Model with Message-Format Refinements,” Bachelor's or Master's thesis, S. Kleber (Supervisor), F. Kargl (Examiner), Institut of Distributed Systems, Ulm University, 2019 – Open.
Security assessments of networked systems require knowledge about the utilized communication protocol. For proprietary protocols without known specification and with only limited access to the end-points, the only source of information is the communication itself. To correctly conclude from the captured byte stream to message-formats, -types, and finally a protocol model, structure, message- and field-boundaries, data-type, and semantics need to be inferred.After an initial inference procedure, it is desirable to refine the existing protocol model. Additional information gained by recorded network traffic needs to be incorporated by recognizing the appropriate parts of the model. The modeled knowledge is to be extended depending on the applicable information inferable from the new trace.
“Test-Case-Generation Strategies for Network-Protocol-Model Refinements,” Bachelor's or Master's thesis, S. Kleber (Supervisor), F. Kargl (Examiner), Institut of Distributed Systems, Ulm University, 2019 – Open.
Security assessments of networked systems require knowledge about the utilized communication protocol. For proprietary protocols without known specification and with only limited access to the end-points, the only source of information is the communication itself. To correctly conclude from the captured byte stream to message-formats, -types, and finally a protocol model, structure, message- and field-boundaries, data-type, and semantics need to be inferred.After an initial inference procedure, it is desirable to refine the existing protocol model. Actively probing an entity for the validity of message syntaxes allows to targetedly enhance the knowledge about the protocol. To do this efficiently a smart method of automatically generating test-cases depending on the current protocol model needs to be developed.

Master's Theses

“De-Anonymization Attacks on Empirical Research Data,” Master's thesis, B. Erb (Supervisor), F. Kargl (Examiner), Inst. of Distr. Sys., Ulm Univ., 2021 – Open.
Initiatives such as the Open Science Framework promote the publication of raw data sets for empirical research as found in psychology and other related disciplines. Although these data sets are usually pseudonymized or anonymized, there is a risk of de-anonymization due to linkage of data sets and potential external data sources. This work should explore this issue and demonstrate the feasability of such attacks based on synthetic and/or real data sets.
“Konzeption und Entwicklung interaktiver Lerninhalte in der Rechnernetze-Lehre,” Bachelor's thesis, Master's thesis, B. Erb (Supervisor), F. Kargl (Examiner), Inst. of Distr. Sys., Ulm Univ., 2021 – Open.
Diese Abschlussarbeit richtet sich primäre an Studierende des Lehramts. In dieser Arbeit sollen Lerninhalte konzipiert und umgesetzt werden, die die Lehre im Fach 'Grundlagen der Rechnernetze' ergänzen. Im Rahmen des Blended Learning Konzepts der Lehrveranstaltung geht es insbesondere um interaktive Labs, Visualisierungen und Tools zur Vertiefung der Inhalte, die die Studierenden remote verwenden können.
“Efficient Updating of a Network-Protocol-Model with Message-Format Refinements,” Bachelor's or Master's thesis, S. Kleber (Supervisor), F. Kargl (Examiner), Institut of Distributed Systems, Ulm University, 2019 – Open.
Security assessments of networked systems require knowledge about the utilized communication protocol. For proprietary protocols without known specification and with only limited access to the end-points, the only source of information is the communication itself. To correctly conclude from the captured byte stream to message-formats, -types, and finally a protocol model, structure, message- and field-boundaries, data-type, and semantics need to be inferred.After an initial inference procedure, it is desirable to refine the existing protocol model. Additional information gained by recorded network traffic needs to be incorporated by recognizing the appropriate parts of the model. The modeled knowledge is to be extended depending on the applicable information inferable from the new trace.
“Test-Case-Generation Strategies for Network-Protocol-Model Refinements,” Bachelor's or Master's thesis, S. Kleber (Supervisor), F. Kargl (Examiner), Institut of Distributed Systems, Ulm University, 2019 – Open.
Security assessments of networked systems require knowledge about the utilized communication protocol. For proprietary protocols without known specification and with only limited access to the end-points, the only source of information is the communication itself. To correctly conclude from the captured byte stream to message-formats, -types, and finally a protocol model, structure, message- and field-boundaries, data-type, and semantics need to be inferred.After an initial inference procedure, it is desirable to refine the existing protocol model. Actively probing an entity for the validity of message syntaxes allows to targetedly enhance the knowledge about the protocol. To do this efficiently a smart method of automatically generating test-cases depending on the current protocol model needs to be developed.

Topics By Research Area

Networks

“Konzeption und Entwicklung interaktiver Lerninhalte in der Rechnernetze-Lehre,” Bachelor's thesis, Master's thesis, B. Erb (Supervisor), F. Kargl (Examiner), Inst. of Distr. Sys., Ulm Univ., 2021 – Open.
Diese Abschlussarbeit richtet sich primäre an Studierende des Lehramts. In dieser Arbeit sollen Lerninhalte konzipiert und umgesetzt werden, die die Lehre im Fach 'Grundlagen der Rechnernetze' ergänzen. Im Rahmen des Blended Learning Konzepts der Lehrveranstaltung geht es insbesondere um interaktive Labs, Visualisierungen und Tools zur Vertiefung der Inhalte, die die Studierenden remote verwenden können.
“Efficient Updating of a Network-Protocol-Model with Message-Format Refinements,” Bachelor's or Master's thesis, S. Kleber (Supervisor), F. Kargl (Examiner), Institut of Distributed Systems, Ulm University, 2019 – Open.
Security assessments of networked systems require knowledge about the utilized communication protocol. For proprietary protocols without known specification and with only limited access to the end-points, the only source of information is the communication itself. To correctly conclude from the captured byte stream to message-formats, -types, and finally a protocol model, structure, message- and field-boundaries, data-type, and semantics need to be inferred.After an initial inference procedure, it is desirable to refine the existing protocol model. Additional information gained by recorded network traffic needs to be incorporated by recognizing the appropriate parts of the model. The modeled knowledge is to be extended depending on the applicable information inferable from the new trace.
“Test-Case-Generation Strategies for Network-Protocol-Model Refinements,” Bachelor's or Master's thesis, S. Kleber (Supervisor), F. Kargl (Examiner), Institut of Distributed Systems, Ulm University, 2019 – Open.
Security assessments of networked systems require knowledge about the utilized communication protocol. For proprietary protocols without known specification and with only limited access to the end-points, the only source of information is the communication itself. To correctly conclude from the captured byte stream to message-formats, -types, and finally a protocol model, structure, message- and field-boundaries, data-type, and semantics need to be inferred.After an initial inference procedure, it is desirable to refine the existing protocol model. Actively probing an entity for the validity of message syntaxes allows to targetedly enhance the knowledge about the protocol. To do this efficiently a smart method of automatically generating test-cases depending on the current protocol model needs to be developed.

Mobile Systems

Distributed Computing

Privacy

“De-Anonymization Attacks on Empirical Research Data,” Master's thesis, B. Erb (Supervisor), F. Kargl (Examiner), Inst. of Distr. Sys., Ulm Univ., 2021 – Open.
Initiatives such as the Open Science Framework promote the publication of raw data sets for empirical research as found in psychology and other related disciplines. Although these data sets are usually pseudonymized or anonymized, there is a risk of de-anonymization due to linkage of data sets and potential external data sources. This work should explore this issue and demonstrate the feasability of such attacks based on synthetic and/or real data sets.
“The impact of privacy in Vehicular Edge Computing,” Bachelor's thesis, Master's thesis, Project, M. Wolf (Supervisor), Inst. of Distr. Sys., Ulm Univ., 2021 – Open.
Modern vehicles will communicate with their environment using Vehicular Ad Hoc Networks (VANET) sending out regular status beacons or warning messages. Those are collected by Road Side Units (RSU) and will be combined with other data, like weather or information from the backend. With this data certain calculations can be performed (e.g. predicting the vehicle density). Furthermore, vehicles may transfer additional data, which is too resource intensive to calculate for themselves, to the RSUs . This process of transmitting data for expensive calculations is called Edge Computing. Currently a lot of work focuses on the benefits and possible applications of VEC, as well as on how PETS can be implemented. But little research is done how privacy techniques impact VEC and safety. In this project/thesis, you have to implement one or more PETS (depending on ECTS) in a VANET simulation framework (Plexe/Veins) and analyze its impact.

IT Security

Fault Tolerance

Cloud Computing

Multimedia Communication

Miscellaneous Topics

“Konzeption und Entwicklung interaktiver Lerninhalte in der Rechnernetze-Lehre,” Bachelor's thesis, Master's thesis, B. Erb (Supervisor), F. Kargl (Examiner), Inst. of Distr. Sys., Ulm Univ., 2021 – Open.
Diese Abschlussarbeit richtet sich primäre an Studierende des Lehramts. In dieser Arbeit sollen Lerninhalte konzipiert und umgesetzt werden, die die Lehre im Fach 'Grundlagen der Rechnernetze' ergänzen. Im Rahmen des Blended Learning Konzepts der Lehrveranstaltung geht es insbesondere um interaktive Labs, Visualisierungen und Tools zur Vertiefung der Inhalte, die die Studierenden remote verwenden können.
“Test-based Validation of Network Programming Tasks,” Project, D. Meißner (Supervisor), F. Kargl (Examiner), Inst. of Distr. Sys., Ulm Univ., 2021 – Open.
We have a collection of Java programming tasks as part of our introduction to computer networks course. In these programming tasks students are instructed to implement network applications matching a strict set of rules. The goal of this project is to implement a rule-based testing framework to aid the grading of such programming tasks and providing immediate feedback to students whether their implementation is correct or not.