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CODASPY
2016

Neuralyzer: Flexible Expiration Times for the Revocation of Online Data

3 years 19 days ago
Neuralyzer: Flexible Expiration Times for the Revocation of Online Data
Once data is released to the Internet, there is little hope to successfully delete it, as it may have been duplicated, reposted, and archived in multiple places. This poses a significant threat to users’ privacy and their right to permanently erase their very own data. One approach to control the implications on privacy is to assign a lifetime value to the published data and ensure that the data is no longer accessible after this point in time. However, such an approach suffers from the inability to successfully predict the right time when the data should vanish. Consequently, the author of the data can only estimate the correct time, which unfortunately can cause the premature or belated deletion of data. This paper tackles the problem of prefixed lifetimes in data deletion from a different angle and argues that alternative approaches are a desideratum for research. In our approach, we consider different criteria when data should be deleted, such as keeping data available as long...
Apostolis Zarras, Katharina Kohls, Markus Dür
Added 31 Mar 2016
Updated 31 Mar 2016
Type Journal
Year 2016
Where CODASPY
Authors Apostolis Zarras, Katharina Kohls, Markus Dürmuth, Christina Pöpper
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