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Date event: 
Thursday, October 31, 2019 - 15:00

Cloud computing elastic resources and fine grained billing enable users to quickly and cost-effectively execute data analysis tasks. Nevertheless, using the cloud instead of on-premise clusters increase the number of ways that sensitive data could be leaked.

In this tutorial, we used the RHD use case from ATMOSPHERE to let the audience understand the necessary steps to implement cloud-based applications that can process sensitive data even when the cloud providers are not trusted.

The tutorial illustrated the anonymization of videos for posterior processing in a way that the original videos are encrypted not only during storage and transmission, but even during the processing in the cloud. This tutorial combined the Radiomics application with the SCONE and Asperathos assets.

Who should attend?

Industry and academic researchers in the area of software reliability engineering

More info

Contact Andrey Brito, Federal University of Campina Grande and visit