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Secure Machine Tool Data Processing in the Cloud Leveraging Privacy-Enhancing Technologies

Secure Machine Tool Data Processing in the Cloud Leveraging Privacy-Enhancing Technologies

Supervisor(s): Andy Ludwig, Michael Heinl, Alexander Giehl
Status: open
Topic: Others
Type of Thesis: Masterthesis
Thesis topic in co-operation with the Fraunhofer Institute for Applied and Integrated Security AISEC, Garching

Description

Master’s Thesis
Secure Machine Tool Data Processing in the Cloud Leveraging Privacy-Enhancing Technologies


Motivation
As one of the leading research institutes for applied and integrated security, Fraunhofer AISEC conducts projects and operates laboratories in the field of industrial security. One of our newest projects deals with the question how to protect machine tool data provided by different machine tool operators for the use case of condition monitoring in the cloud. The project’s focus is on the proactive protection of the individual operator’s intellectual property which might get leaked when sharing such data.


Tasks
The goal of this thesis is to investigate and demonstrate the suitability of privacy-enhancing technologies (PETs) to secure this type of data within an edge/cloud architecture while at the same time maintaining a high level of utilizability for corresponding machine learning algorithms. The first step is to conduct a survey and provide an overview of the state of the art of currently available PETs as
well as their varying characteristics. In the second step, the suitability of each PET is systematically evaluated. Once suitable PETs are identified, a concept defining how to apply at least one of them to the machine tool data has to be developed. Finally, this concept has to be evaluated by implementing a proof of concept.


Prerequisites
• Self-initiative and the ability to work in a self-directed way;
• Knowledge in the field of security, ideally experience with PETs and machine learning;
• Programming experience, ideally R and/or Python;
• A minor in mechanical engineering or first practical experiences with the above mentioned technologies would be ideal but are not a must.


Please attach a current grade sheet and a short CV to your application.


Contact


Andy Ludwig, Michael Heinl
Phone: +49 89 322-9986-1052 , Phone: +49 89 322-9986-125
E-mail: andy.ludwig@aisec.fraunhofer.de

E-mail: michael.heinl@aisec.fraunhofer.de


Alexander Giehl
Phone: +49 89 322-9986-189
E-mail: alexander.giehl@aisec.fraunhofer.de


Fraunhofer Research Institute for Applied and Integrated Security AISEC
Department Product Protection and Industrial Security
Lichtenbergstraße 11, 85748 Garching near Munich, Germany


https://www.aisec.fraunhofer.de