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Data protection-friendly big-data analyses
The analysis of large amounts of data enables numerous improvements - in the fight against climate change as well as in medicine. At the same time, today's big-data analysis possibilities create entirely new risks for people's privacy. If data from different sources is combined in the analysis, it is often possible to combine supposedly anonymous data to create personal profiles, with sometimes unforeseeable consequences for the people concerned. A new study by the Fraunhofer Institute for Secure Information Technology SIT therefore shows how big-data technologies can be used without harming the privacy of individuals. The study is aimed at users and developers of big data systems and is available for free download at https://www.sit.fraunhofer.de/reports/
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Best Paper Award for ATHENE researchers at the IEEE VizSec
ATHENE researchers of the Fraunhofer IGD were awarded the Best Paper Award at the IEEE Symposium on Visualization for Cyber Security (VizSec) for their publication "A Visualization Interface to Improve the Transparency of Collected Personal Data on the Internet". In their paper, the researchers* deal with the problem that Internet users lose track of the data they disclose and store due to the multitude of online services. The prototype they developed, TransparencyVis, supports users in gaining better control over their own data. Via https://transparency-vis.vx.igd.fraunhofer.de/, users can upload exports from Facebook, Google, Instagram and Twitter simultaneously or individually and explore them interactively.
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