Neuralyzer: Flexible expiration times for the revocation of online data

Apostolis Zarras, Katharina Kohls, Markus Dürmuth, Christina Pöpper

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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 as there is sufficient interest for it or untimely delete it in cases of excessive accesses. To assist the self-destruction of data, we propose a protocol and develop a prototype, called Neuralyzer, which leverages the caching mechanisms of the Domain Name System (DNS) to ensure the successful deletion of data. Our experimental results demonstrate that our approach can completely delete published data while at the same time achieving flexible expiration times varying from few days to several months depending on the users' interest.

Original languageEnglish (US)
Title of host publicationCODASPY 2016 - Proceedings of the 6th ACM Conference on Data and Application Security and Privacy
PublisherAssociation for Computing Machinery, Inc
Pages14-25
Number of pages12
ISBN (Electronic)9781450339353
DOIs
StatePublished - Mar 9 2016
Event6th ACM Conference on Data and Application Security and Privacy, CODASPY 2016 - New Orleans, United States
Duration: Mar 9 2016Mar 11 2016

Publication series

NameCODASPY 2016 - Proceedings of the 6th ACM Conference on Data and Application Security and Privacy

Other

Other6th ACM Conference on Data and Application Security and Privacy, CODASPY 2016
CountryUnited States
CityNew Orleans
Period3/9/163/11/16

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems
  • Software

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