Enhancing Data Sovereignty on IoT Platforms

Bachelor thesis, Master thesis, Thesis

Research focus: Cloud Computing and Cloud Services, Industrial Automation, IT- und Informationssicherheit
Courses of study: Informatics, Ingenieurwissenschaftliches Studium, Related Disciplines, Business Informatics, Industrial Engineering and Management

Job Description

Popular public cloud platforms offer a wide spectrum of services, virtually unbounded in terms of scalability of compute and storage. Recent surveys show that an increasing number of workloads of industrial companies are shifted into the cloud. For more critical workloads, decision makers tend to still be hesitant due to data sovereignty concerns. With public clouds often being characterized by a monolithic structure and limited transparency regarding data handling, such concerns are not born from paranoia.

Internet of Things (IoT) platforms are instruments enabling companies to manage and analyze data gathered from their resources (e.g. machines on the shop floor) and to create value by interconnecting those. Often, IoT platforms are implemented using various services of public cloud platforms or custom systems designed by other solution providers. Therefore, similar data-sovereignty-related concerns to above-stated ones come to mind.

Your Responsibilities

  • Literature research around data sovereignty on IoT platforms
  • Outlining solution approaches to respond to / mitigate data sovereignty concerns (no programming required)
  • Optionally: Focus on and evaluate the blockchain concept as solution approach

Our Offer

  • An interdisciplinary environment amidst science, business and transfer into practice
  • A welcoming atmosphere in a young and motivated research team

Your Profile

  • Highly motivated students able to work proactively and independently
  • Interest in data privacy and security, encryption
  • Optionally: Expertise in IoT applications, communication protocols (OPC-UA, MQTT, …)
  • Fluent in German or English


Please attach the following to your application and send it to Martin Trat, trat@fzi.de, (Tel.: +49 721 9654-509):

  • Brief cover letter exposing the motivation for this application, university program and focus areas, expertise and personal interest
  • CV or resume
  • Transcript of records / grades

Job Description

  • Start: with immediate effect
  • Associated KIT institute: Institut für Informationsmanagement im Ingenieurwesen (IMI), Prof. Dr. Dr.-Ing. Dr. h. c. Jivka Ovtcharova
  • Type of thesis: Seminar paper / term paper
  • Programs: Industrial Engineering, Computer Science, Engineering Science, related programs