Name of the participant: Gloria Bondel
Description of the IT-research project: Advances in information and communication technologies (ICT), e.g. smartphones, wearables and vehicles, enable the collection and processing of data containing sensitive information about consumers. While the collection, processing and use of data has economic potential, it also places demands on data protection and security, especially when data is stored in the cloud. In the context of this project, data generated by Wristworn Wearbles will be considered as a use case. Wristworn Wearables such as Smartwatches are nowadays not only used to record sports activities, but also perform various health-related measurements. Various sensors collect information about the user’s heart rate, the oxygen saturation of the blood (SpO2) or even ECGs are performed. The service providers use resulting aggregated data sets to achieve general product improvements, to support planning of the traffic infrastructure and to determine correlations within the data to provide users with improved training and health recommendations.
To perform Big Data Analytics on large amounts of data, service providers rely on the cloud infrastructure, which is a central point of attack for the opponents. A data leak could lead to the disclosure of personal health data, which is a major privacy concern.
Therefore, the aim of this project is to develop a prototype which ensures the protection of privacy through the application of de-identification methods, while at the same time enabling the most useful analysis of the data. In addition, the tool should also provide a uniform interface to various Big Data infrastructures.
Software Campus partners: TU München, Rohde & Schwarz
Implementation period: 01.01.2020 – 31.03.2021