Individualprojekte

Neben unseren regelmäßig stattfindenden Projektveranstaltungen (siehe rechte Spalte) bieten wir zusätzlich eine Reihe von individuellen Einzel- und Gruppenthemen für Projekte an. Diese können je nach Prüfungsordnung als Teil des Projektmoduls im Master eingebracht werden. Beachten Sie, dass in der Liste auch Arbeiten vorkommen, die sowohl als Abschluss- als auch als Projektarbeit ausgeschrieben wurden. Der Schwierigkeitsgrad und Umfang wird dann jeweils nach der Art der Arbeit angepasst.

„Designing exercise tasks for Security in IT-Systems lecture,“ Bachelorarbeit, Masterarbeit, Projektarbeit, M. Wolf (Betreuung), Inst. of Distr. Sys., Ulm Univ., 2021 – Verfügbar.
This topic addresses primarily students of the teaching profession, however others may also apply. In this work you should design and create one or more exercise sheets (depending on the ECTS) for the lecture Security in IT-Systems combined with an automated grading system. One such sheet can be about web security where students have to hack a web server launched on a docker image - similar to hackthissite.org. For a list of other topics, please refer to the module description: https://www.uni-ulm.de/in/vs/teach/sec
„Test-based Validation of Network Programming Tasks,“ Projektarbeit, D. Meißner (Betreuung), F. Kargl (Prüfer), Inst. of Distr. Sys., Ulm Univ., 2021 – Verfügbar.
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,“ Bachelorarbeit, Masterarbeit, Projektarbeit, M. Wolf (Betreuung), Inst. of Distr. Sys., Ulm Univ., 2021 – Verfügbar.
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.
„Applications for the LoRaPark Ulm,“ Projektarbeit, F. Kargl and B. Erb (Betreuung), F. Kargl (Prüfer), Inst. of Distr. Sys., Ulm Univ., 2020 – Verfügbar.
„Entwicklung einer web-basierten Anwendung für die Konfiguration von IoT-Komponenten,“ Projektarbeit, A. Heß (Betreuung), F. J. Hauck (Prüfer), Inst. of Distr. Sys., Ulm Univ., 2020 – Verfügbar.
Das SORRIR Forschungsprojekt befasst sich mit der Entwicklung eines Frameworks für resiliente IoT-Systeme. Ein Aspekt dieses Frameworks ist ein Degradierungsmechanismus, welcher den Betriebsmodus einer IoT-Komponente automatisch anpasst, falls es zu Ausfällen von angebundenen (Teil-)Komponenten kommt. Damit soll sichergestellt werden, dass einzelne Komponenten weiterhin arbeiten, wenn auch mit reduzierter Funktionalität. In dieser Projektarbeit soll eine web-basierte Anwendung entwickelt werden, welche die Konfiguration dieses Mechanismus mittels Drag & Drop Elementen erleichtert und damit eine leichte Programmierung des Verhaltens einer IoT-Komponente ermöglicht. Gerne können hier eigene Ideen zur Umsetzung eingebracht werden. Aus der graphischen Konfiguration sollen Dateien generiert werden, die das SORRIR-Framework zur Laufzeit verwenden kann.
„Yahoo Cloud Storage Benchmark for State-Machine Replication,“ Projektarbeit, G. Habiger (Betreuung), F. J. Hauck (Prüfer), Inst. of Distr. Sys., Ulm Univ., 2020 – Verfügbar.
The YCSB is an open source benchmarking specification and framework for evaluating the performance of database-like software. Since its release in 2010, it has evolved into a de facto stan-dard for benchmarking commercial products like Redis, HBase, Cassandra and many others. Not only in the industry, but also in the scientific community, many researchers are using the YCSB to evaluate and compare their scientific findings and software artifacts against other published solutions. This project should create a YCSB Client implementation and workloads for benchmarking our platform for replicated state-machines built within our institute in the recent years. State-machine replication is a technique for providing high levels of fault-tolerance. In research projects we extended the existing BFT-SMaRt framework for our use. In the future we would like to use the results of this project to evaluate performance changes when extending the framework further. Students with previous knowledge in these areas are preferred, but the necessary skills can also be acquired during the project. At the end of the project, a thorough comparison of the newly YCSB-enabled software artifacts should be conducted.
„Zero Trust SFC enabled HTTP based Multi Factor Authentication,“ Projektarbeit, L. Bradatsch (Betreuung), F. Kargl (Prüfer), Inst. of Distr. Sys., Ulm Univ., 2020 – Verfügbar.
Since Google introduced their BeyondCorp project, Zero Trust (ZT) is one of the most popular buzzwords in the area of network security. In a ZT network, Policy Enforcement Point (PEP) and Policy Decision Point (PDP) are responsible for central authentication and authorization (Auth*). Both mentioned components and conventional security functions such as firewalls work largely independently of each other when it comes to processing packets. This leads to inefficient scenarios in which all packets are processed by time- consuming security functions. By coupling the conventional security functions to the PEP/PDP, higher efficiency in security-relevant packet processing can be achieved. This can be achieved by leveraging the Service Function Chaining (SFC) approach. SFC allows the dynamic chaining of conventional network service functions such as HTTP header enricher or firewalls. For each network flow can be decided what service function should be applied to all the flow's packets. The PEP/PDP in a ZT network acts then as the orchestrator, decides about the functions that should be chained together. By doing this, it can be efficiently decided which function should be applied. The goal of the project is to implement one of the thus orchestrated security service functions namely a Multi Factor Authenticator (MFA) that is embedded in a already existing Zero Trust SFC prototype. The MFA must be HTTP based and written in Go. Requirements: Good knowledge of Go and security protocols).
„Using Machine Learning for Misbehavior Detection in CACC,“ M. Wolf (Betreuung), F. Kargl (Prüfer), Inst. of Distr. Sys., Ulm Univ., 2019 – Verfügbar.
Modern vehicles will use communication to increase the safety of its passengers, reduce fuel consumption, travel time, and more. The communication between the vehicles will be mainly beacon messages containing the speed, position, acceleration and other properties. These messages need to be validated, if they contain correct (plausible) information. For example, when a vehicle is suddenly stopping, but sending an increase in speed, the following vehicles may crash into the misbehaving vehicle. In literature, there is already existing work on detecting misbehavior in the data with different techniques such as subjective logic or machine learning. In this project, we will analyze the VeReMi data-set with the help of different machine learning algorithms. The number of algorithms compared is depending on the scope (credits). The student can choose the framework, e.g. PyTorch.

Reguläre Projekte im Master

Rechnernetze und IT-Sicherheit I und II
4Pj, 8LP, jedes Semester

Verteilte Anwendungen, Plattformen und Systeme I und II
3Pj, 8LP, jedes Semester

Kontakt

Sekretariat

Marion Köhler
Claudia Kastner
Emailaddresse Sekretariat
Telefon: +49 731 50-24140
Telefax: +49 731 50-24142

Postanschrift

Institut für Verteilte Systeme
Universität Ulm
Albert-Einstein-Allee 11
89081 Ulm

Besucheranschrift

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

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