IACR News item: 21 June 2015
Milivoj Simeonovski, Fabian Bendun, Muhammad Rizwan Asghar, Michael Backes, Ninja Marnau and
ePrint ReportIn this work, we propose a universal framework Oblivion to support
the automation of the right to be forgotten in a scalable,
provable and privacy-preserving manner. First, Oblivion enables a
user to automatically find and tag her disseminated personal
information using natural language processing (NLP) and image recognition techniques and
file a request in a privacy-preserving manner. Second, Oblivion
provides indexing systems with an automated and provable eligibility
mechanism, asserting that the author of a request is indeed affected
by an online resource. The automated eligibility proof ensures censorship-resistance so that only legitimately affected
individuals can request the removal of corresponding links from
search results. We have conducted comprehensive evaluations of Oblivion, showing that the framework is capable of handling 278 removal requests per second on a standard notebook (2.5 GHz dual core), and is hence suitable for large-scale deployment.
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