Abschlussarbeiten

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Themen nach Abschluss

Bachelor-Arbeiten


7.
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Matousek, Matthias
Security Analysis of Home Assistant
Master's thesis, Bachelor's thesis, Project
Institute of Distributed Systems,
2019
in Vorbereitung

Marker: ABSCHLUSSARBEIT MASTER MA BACHELOR BA PROJECT MatthiasMatousek sec

Zusammenfassung: Home automation is becoming more and more popular. Many companies sell sensors and actuators to automate lights, doors, vacuum robots, plant watering, etc. While many products rely on closed-source control software, which often lives in the cloud, there are also open-source alternatives. Open-source projects like Home Assistant aim to provide integration for home automation solutions of many different vendors and also to give full control to the user without compromising privacy or becoming dependant on specific operators. A software that has so much data about peoples' personal lives should fulfill high security requirements. The goal of this thesis or project is to conduct a methodical security analysis of Home Assistant and to document the outcomes.

6.
default
Matousek, Matthias
Machine Learning on Encrypted Data
Master's thesis, Bachelor's thesis, Project
Institute of Distributed Systems,
2019
in Vorbereitung

Marker: ABSCHLUSSARBEIT MASTER MA BACHELOR BA PROJECT MatthiasMatousek

Zusammenfassung: Machine Learning enables great applications, such as voice assistants and image recognition. However, in most cases, it is required to send the input data to another party with powerful machine learning models and lots of computing power, in order to utilize the power of machine learning. This is a risk for privacy. Libraries like tf-encrypted and PySyft aim to address this issue by implementing encryption mechanisms that allow machine learning on encrypted data. The goal of this thesis or project is to understand how encrypted machine learning techniques work and how they get implemented with tf-encrypted and/or PySyft. Further, it is possible to extend on this by comparing different libraries and techniques or by implementing own encrypted machine learning techniques.

5.
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Matousek, Matthias
Privacy-Preserving First Responder Alert System
Master's thesis, Bachelor's thesis, Project
Institute of Distributed Systems,
2019
in Vorbereitung

Marker: ABSCHLUSSARBEIT MASTER MA BACHELOR BA PROJECT MatthiasMatousek priv

Zusammenfassung: In a medical emergency every minute counts. While emergency services are generally very quick, first responders can have immense positive impact on a patient's further recovery and sometimes even their chance of survival. Trained first responders are often already part of many companies and most people have some first aid training that enables them to help in medical emergencies. However, what if an emergency happens quite close to a well-trained first responder (or even a medical professional), but this person just does not know about it? With today's prevalent smartphone and wearable technology, it is obvious to integrate it in rescue operations. A service can automatically track the locations of first responders and dispatch them accordingly. Such a system can help save lives, but it comes with a big privacy issues: the first responders must be location-tracked. This could be a reason for someone not to register with such a service. Furthermore, large scale tracking may be problematic from a legal perspective as well (consider the EU's General Data Protection Regulation). The goal of this project or thesis is to develop a prototype of a privacy-preserving first responder alert system by devising an architecture, analyzing privacy issues, and finally selecting and implementing suitable privacy-enhancing technologies.

4.
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Matousek, Matthias
Machine Learning with TensorFlow Federated
Master's thesis, Bachelor's thesis, Project
Institute of Distributed Systems,
2019
in Vorbereitung

Marker: ABSCHLUSSARBEIT MASTER MA BACHELOR BA MatthiasMatousek

Zusammenfassung: To build powerful machine learning models, lots of data is required. However, obtaining the data comes with privacy risks for the people or entities that provide their data. Recently, Google published TensorFlow Federated - an open source framework to allow machine learning on decentralized data. The approach of federated learning makes machine learning in the age of mobile devices and wearables both more efficient, as well as more privacy-friendly. The goal of this thesis or project is to become familiar with the TensorFlow Federated framework, to understand and be able to explain the techniques which are implemented in it, to be able to build machine learning models in a federated way, and possibly to implement own enhancements of the framework.

3.
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Matousek, Matthias
Machine Learning with TensorFlow Privacy
Master's thesis, Bachelor's thesis, Project
Institute of Distributed Systems,
2019
in Vorbereitung

Marker: ABSCHLUSSARBEIT MASTER MA BACHELOR BA MatthiasMatousek

Zusammenfassung: Machine learning offers great opportunities, but also comes with risks. Especially the privacy risks are becoming more prevalent in the discussions about machine learning. Recently, Google published a machine learning library called TensorFlow Privacy. Its goal is to make it easier for developers and researchers to build privacy-preserving machine learning models. Specifically, it utilizes Differential Privacy, which mathematically guarantees that the training data to create the models is protected from being extracted. The goal of this thesis or project is to become familiar with the TensorFlow Privacy library, to understand and be able to explain the techniques which are implemented in it, to be able to build privacy-preserved machine learning models, and possibly to implement own protection techniques that could enhance the TensorFlow Privacy library.

2.
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Engelmann, Felix
Extension of a Monero Wallet
Bachelor's thesis, Project
Institute of Distributed Systems,
2019
in Vorbereitung

Marker: ABSCHLUSSARBEIT BACHELOR BA FelixEngelmann

Zusammenfassung: The goal of this project is to extend the Monero project [1] to support an additional transaction type. The transaction itself is already implemented, but is not integrated into the cli tools and the consensus mechanism. A good knowledge of C++ is required and a basic understanding of cryptocurrencies is helpful. The evaluation of the project consists of creating a cli demo in a test setup.

1.
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Claus, Ruepp
Data-Centric Misbehavior Detection in Platooning
Bachelor Thesis
Institute of Distributed Systems,
2018
in Vorbereitung

Marker: ABSCHLUSSARBEIT BACHELOR BA RensVanDerHeijden sec

Zusammenfassung: In recent years, much research has been devoted to the design and implementation of vehicle-to-vehicle communication, based on a variety of communication technologies. Current standards foresee an ad-hoc communication architecture, where vehicles interact with other vehicles without the need for infrastructure. A major concern in such a network is the integrity and correctness of the exchanged information. Although solid proposals exist to protect message integrity, the detection of incorrect messages (misbehaviour detection) is a domain where there is no agreed-upon solution. At the institute of distributed systems, we are developing the Maat framework, which is designed to collect messages and apply misbehaviour detection mechanisms to determine which messages are valid. We use techniques from information fusion and trust management to establish trustworthiness of messages and vehicles. For validation of our framework, we are looking for a student interested in designing novel attacks to test the reliability of our framework. In particular, we are interested in attacks designed to be difficult to detect, either by combining multiple attack strategies or designing new ones. These attack should be developed within the VEINS framework, a C++-based simulation library for vehicle-tovehicle communication.

Master-Arbeiten


10.
default
Matousek, Matthias
Security Analysis of Home Assistant
Master's thesis, Bachelor's thesis, Project
Institute of Distributed Systems,
2019
in Vorbereitung

Marker: ABSCHLUSSARBEIT MASTER MA BACHELOR BA PROJECT MatthiasMatousek sec

Zusammenfassung: Home automation is becoming more and more popular. Many companies sell sensors and actuators to automate lights, doors, vacuum robots, plant watering, etc. While many products rely on closed-source control software, which often lives in the cloud, there are also open-source alternatives. Open-source projects like Home Assistant aim to provide integration for home automation solutions of many different vendors and also to give full control to the user without compromising privacy or becoming dependant on specific operators. A software that has so much data about peoples' personal lives should fulfill high security requirements. The goal of this thesis or project is to conduct a methodical security analysis of Home Assistant and to document the outcomes.

9.
default
Matousek, Matthias
Machine Learning on Encrypted Data
Master's thesis, Bachelor's thesis, Project
Institute of Distributed Systems,
2019
in Vorbereitung

Marker: ABSCHLUSSARBEIT MASTER MA BACHELOR BA PROJECT MatthiasMatousek

Zusammenfassung: Machine Learning enables great applications, such as voice assistants and image recognition. However, in most cases, it is required to send the input data to another party with powerful machine learning models and lots of computing power, in order to utilize the power of machine learning. This is a risk for privacy. Libraries like tf-encrypted and PySyft aim to address this issue by implementing encryption mechanisms that allow machine learning on encrypted data. The goal of this thesis or project is to understand how encrypted machine learning techniques work and how they get implemented with tf-encrypted and/or PySyft. Further, it is possible to extend on this by comparing different libraries and techniques or by implementing own encrypted machine learning techniques.

8.
default
Matousek, Matthias
Privacy-Preserving First Responder Alert System
Master's thesis, Bachelor's thesis, Project
Institute of Distributed Systems,
2019
in Vorbereitung

Marker: ABSCHLUSSARBEIT MASTER MA BACHELOR BA PROJECT MatthiasMatousek priv

Zusammenfassung: In a medical emergency every minute counts. While emergency services are generally very quick, first responders can have immense positive impact on a patient's further recovery and sometimes even their chance of survival. Trained first responders are often already part of many companies and most people have some first aid training that enables them to help in medical emergencies. However, what if an emergency happens quite close to a well-trained first responder (or even a medical professional), but this person just does not know about it? With today's prevalent smartphone and wearable technology, it is obvious to integrate it in rescue operations. A service can automatically track the locations of first responders and dispatch them accordingly. Such a system can help save lives, but it comes with a big privacy issues: the first responders must be location-tracked. This could be a reason for someone not to register with such a service. Furthermore, large scale tracking may be problematic from a legal perspective as well (consider the EU's General Data Protection Regulation). The goal of this project or thesis is to develop a prototype of a privacy-preserving first responder alert system by devising an architecture, analyzing privacy issues, and finally selecting and implementing suitable privacy-enhancing technologies.

7.
default
Matousek, Matthias
Machine Learning with TensorFlow Federated
Master's thesis, Bachelor's thesis, Project
Institute of Distributed Systems,
2019
in Vorbereitung

Marker: ABSCHLUSSARBEIT MASTER MA BACHELOR BA MatthiasMatousek

Zusammenfassung: To build powerful machine learning models, lots of data is required. However, obtaining the data comes with privacy risks for the people or entities that provide their data. Recently, Google published TensorFlow Federated - an open source framework to allow machine learning on decentralized data. The approach of federated learning makes machine learning in the age of mobile devices and wearables both more efficient, as well as more privacy-friendly. The goal of this thesis or project is to become familiar with the TensorFlow Federated framework, to understand and be able to explain the techniques which are implemented in it, to be able to build machine learning models in a federated way, and possibly to implement own enhancements of the framework.

6.
default
Matousek, Matthias
Machine Learning with TensorFlow Privacy
Master's thesis, Bachelor's thesis, Project
Institute of Distributed Systems,
2019
in Vorbereitung

Marker: ABSCHLUSSARBEIT MASTER MA BACHELOR BA MatthiasMatousek

Zusammenfassung: Machine learning offers great opportunities, but also comes with risks. Especially the privacy risks are becoming more prevalent in the discussions about machine learning. Recently, Google published a machine learning library called TensorFlow Privacy. Its goal is to make it easier for developers and researchers to build privacy-preserving machine learning models. Specifically, it utilizes Differential Privacy, which mathematically guarantees that the training data to create the models is protected from being extracted. The goal of this thesis or project is to become familiar with the TensorFlow Privacy library, to understand and be able to explain the techniques which are implemented in it, to be able to build privacy-preserved machine learning models, and possibly to implement own protection techniques that could enhance the TensorFlow Privacy library.

5.
default
Engelmann, Felix
Extension of a Monero Wallet
Bachelor's thesis, Project
Institute of Distributed Systems,
2019
in Vorbereitung

Marker: ABSCHLUSSARBEIT BACHELOR BA FelixEngelmann

Zusammenfassung: The goal of this project is to extend the Monero project [1] to support an additional transaction type. The transaction itself is already implemented, but is not integrated into the cli tools and the consensus mechanism. A good knowledge of C++ is required and a basic understanding of cryptocurrencies is helpful. The evaluation of the project consists of creating a cli demo in a test setup.

4.
default
Mehdi, Muntazir
Controlled Neurofeedback using Mobile EEG and Smartphone
Master's thesis
Institute of Distributed Systems,
2018
in Vorbereitung

Marker: ABSCHLUSSARBEIT, THESIS, Master, AA, MA, MuntazirMehdi, mobile, misc

Zusammenfassung: Neurofeedback provides the necessary means to visualize selected and controlled parameters of the brain activity. In healthcare domain, neurofeedback studies enable mitigation of many psychological disorders and illnesses, mainly by therapies that help patients to better self-regulate their brain activity. Electroencephalography (EEG) is the method of monitoring the electrical activity of the brain, thus providing the necessary feedback. In this thesis work, the student is required to survey the current state of frameworks, techniques, or methods that enable coupling of Mobile EEGs with Smartphones. Bluetooth 2.1 with Enhanced Data Rate (EDR) capability is one of the most effective mean of coupling EEGs with Smartphones. The student would therefore be required to work on the Bluetooth stack to acquire real-time data generated from the Mobile EEGs, parse the electrical signal, and visualize the signal semantically. For successful completion of the thesis, the student would be required to identify and address any one of the open challenges faced by the proposed topic. An example of this can be addressing the bandwidth challenges, battery consumption, or signal accuracy

3.
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Erb, Benjamin und Meißner, Dominik
Interactive exploration of event-sourced graphs
Master's thesis or individual lab project
Institute of Distributed Systems,
2018
in Vorbereitung

Marker: AA, MA, PROJEKT, BenjaminErb, FrankKargl, sidgraph, distributed, DominikMeissner

Zusammenfassung: The chronograph platform is a system for computing on evolving graphs. One module of the platform should provide an interactive user interface for exploring the history, evolution, and topology of the graph. The goal of this project is the design and implementation of a scalable, web-based user interface for the exploration of chronograph data.

2.
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Engelmann, Felix
Blockchain Explorer
Projekt
Institute of Distributed Systems, Ulm University,
2017
in Vorbereitung

Marker: PROJEKT, FelixEngelmann

Zusammenfassung: In dem Projekt soll eine Webanwendung entstehen, die Daten aus einer Blockchain visualisiert und mit zusätzlichen Informationen aufbereitet. Für die bekannten Blockchains wie Bitcoin und Ethererum existieren Portale wie z.B. etherscan.io , die detaillierte Informationen über die jeweilige Blockchain anzeigen. Für den Einsatz in der Industrie sind diese öffentlichen Blockchains jedoch nicht zuverlässig genug. Deshalb betreut das SAMPL Projekt eine eigene Blockchain, die auf Ethereum aufbaut und speziell für Lizenzverwaltung ausgerichtet ist. Dafür soll nun ein Explorer entwickelt werden der den gleichen Komfort bietet wie die existierenden Plattformen. Die Rohdaten können per REST API bezogen werden, sollten dann aber für die Verwendung aufbereitet werden und in einer durchsuchbaren Datenbank abgelegt werden. Die UI sollte durch eine zeitgemäße Webseite geschehen. Testprojekte gibt es mit node.js und angular, jedoch ist verwendete Technologie egal, solange die Software zuverlässig im Produktivbetrieb eingesetzt werden kann.

1.
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Kargl, Frank
Privacy Management using Differential Privacy in ITS
Master- oder Diplomarbeit
Institut für Verteilte Systeme, Universität Ulm,
April 2013
in Vorbereitung

Marker: MA, DA, AA, FrankKargl, privacy, mobile

Zusammenfassung: Joint project between University of Ulm, Germany and NICTA Sydney, Australia. Differential Privacy is a rather new concept that enables practically feasible privacy controls and formal guarantees to be implemented. In a recent publication, we have started to look how Differential Privacy can be used in the context of Intelligent Transportation Systems and Car-to-X communication and have identified a couple of open challenges. We have outlined how differential privacy can be integrated into the PRECIOSA Privacy-enforcing Runtime Architecture and identified a number of future research questions one being how to manage the appearing trade-off between data accuracy, privacy, and availability of data. The master thesis requires to work into the fields of Differential Privacy, Intelligent Transportation Systems, and the PRECIOSA project results based on available literature and material followed by conceptual work that should extend our existing proposal. A proof-of-concept implementation should then allow some practical analysis of the feasibility and achievable data accuracy based on Floating Car Data captured in real experiments. There is the option to work on the thesis during an internship at the NICTA in Sydney, Australia. Because of the need to apply for travel funding, this would require a longer-term planing before starting the work.

Themen nach Schwerpunkt

Netzwerke


Es wurden keine Referenzen gefunden.

Mobile Systeme


2.
default
Mehdi, Muntazir
Controlled Neurofeedback using Mobile EEG and Smartphone
Master's thesis
Institute of Distributed Systems,
2018
in Vorbereitung

Marker: ABSCHLUSSARBEIT, THESIS, Master, AA, MA, MuntazirMehdi, mobile, misc

Zusammenfassung: Neurofeedback provides the necessary means to visualize selected and controlled parameters of the brain activity. In healthcare domain, neurofeedback studies enable mitigation of many psychological disorders and illnesses, mainly by therapies that help patients to better self-regulate their brain activity. Electroencephalography (EEG) is the method of monitoring the electrical activity of the brain, thus providing the necessary feedback. In this thesis work, the student is required to survey the current state of frameworks, techniques, or methods that enable coupling of Mobile EEGs with Smartphones. Bluetooth 2.1 with Enhanced Data Rate (EDR) capability is one of the most effective mean of coupling EEGs with Smartphones. The student would therefore be required to work on the Bluetooth stack to acquire real-time data generated from the Mobile EEGs, parse the electrical signal, and visualize the signal semantically. For successful completion of the thesis, the student would be required to identify and address any one of the open challenges faced by the proposed topic. An example of this can be addressing the bandwidth challenges, battery consumption, or signal accuracy

1.
default
Kargl, Frank
Privacy Management using Differential Privacy in ITS
Master- oder Diplomarbeit
Institut für Verteilte Systeme, Universität Ulm,
April 2013
in Vorbereitung

Marker: MA, DA, AA, FrankKargl, privacy, mobile

Zusammenfassung: Joint project between University of Ulm, Germany and NICTA Sydney, Australia. Differential Privacy is a rather new concept that enables practically feasible privacy controls and formal guarantees to be implemented. In a recent publication, we have started to look how Differential Privacy can be used in the context of Intelligent Transportation Systems and Car-to-X communication and have identified a couple of open challenges. We have outlined how differential privacy can be integrated into the PRECIOSA Privacy-enforcing Runtime Architecture and identified a number of future research questions one being how to manage the appearing trade-off between data accuracy, privacy, and availability of data. The master thesis requires to work into the fields of Differential Privacy, Intelligent Transportation Systems, and the PRECIOSA project results based on available literature and material followed by conceptual work that should extend our existing proposal. A proof-of-concept implementation should then allow some practical analysis of the feasibility and achievable data accuracy based on Floating Car Data captured in real experiments. There is the option to work on the thesis during an internship at the NICTA in Sydney, Australia. Because of the need to apply for travel funding, this would require a longer-term planing before starting the work.

Distributed Computing


1.
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Erb, Benjamin und Meißner, Dominik
Interactive exploration of event-sourced graphs
Master's thesis or individual lab project
Institute of Distributed Systems,
2018
in Vorbereitung

Marker: AA, MA, PROJEKT, BenjaminErb, FrankKargl, sidgraph, distributed, DominikMeissner

Zusammenfassung: The chronograph platform is a system for computing on evolving graphs. One module of the platform should provide an interactive user interface for exploring the history, evolution, and topology of the graph. The goal of this project is the design and implementation of a scalable, web-based user interface for the exploration of chronograph data.

Privacy


1.
default
Kargl, Frank
Privacy Management using Differential Privacy in ITS
Master- oder Diplomarbeit
Institut für Verteilte Systeme, Universität Ulm,
April 2013
in Vorbereitung

Marker: MA, DA, AA, FrankKargl, privacy, mobile

Zusammenfassung: Joint project between University of Ulm, Germany and NICTA Sydney, Australia. Differential Privacy is a rather new concept that enables practically feasible privacy controls and formal guarantees to be implemented. In a recent publication, we have started to look how Differential Privacy can be used in the context of Intelligent Transportation Systems and Car-to-X communication and have identified a couple of open challenges. We have outlined how differential privacy can be integrated into the PRECIOSA Privacy-enforcing Runtime Architecture and identified a number of future research questions one being how to manage the appearing trade-off between data accuracy, privacy, and availability of data. The master thesis requires to work into the fields of Differential Privacy, Intelligent Transportation Systems, and the PRECIOSA project results based on available literature and material followed by conceptual work that should extend our existing proposal. A proof-of-concept implementation should then allow some practical analysis of the feasibility and achievable data accuracy based on Floating Car Data captured in real experiments. There is the option to work on the thesis during an internship at the NICTA in Sydney, Australia. Because of the need to apply for travel funding, this would require a longer-term planing before starting the work.

IT-Sicherheit


Es wurden keine Referenzen gefunden.

Fehlertoleranz


Es wurden keine Referenzen gefunden.

Cloud Computing


Es wurden keine Referenzen gefunden.

Multimediakommunikation


Es wurden keine Referenzen gefunden.

Weitere Themen


1.
default
Mehdi, Muntazir
Controlled Neurofeedback using Mobile EEG and Smartphone
Master's thesis
Institute of Distributed Systems,
2018
in Vorbereitung

Marker: ABSCHLUSSARBEIT, THESIS, Master, AA, MA, MuntazirMehdi, mobile, misc

Zusammenfassung: Neurofeedback provides the necessary means to visualize selected and controlled parameters of the brain activity. In healthcare domain, neurofeedback studies enable mitigation of many psychological disorders and illnesses, mainly by therapies that help patients to better self-regulate their brain activity. Electroencephalography (EEG) is the method of monitoring the electrical activity of the brain, thus providing the necessary feedback. In this thesis work, the student is required to survey the current state of frameworks, techniques, or methods that enable coupling of Mobile EEGs with Smartphones. Bluetooth 2.1 with Enhanced Data Rate (EDR) capability is one of the most effective mean of coupling EEGs with Smartphones. The student would therefore be required to work on the Bluetooth stack to acquire real-time data generated from the Mobile EEGs, parse the electrical signal, and visualize the signal semantically. For successful completion of the thesis, the student would be required to identify and address any one of the open challenges faced by the proposed topic. An example of this can be addressing the bandwidth challenges, battery consumption, or signal accuracy