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.

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.

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.

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.

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.

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.

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.

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

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.

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

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.

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.

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