A MECHANISM FOR DATA EXTRACTION IN SPITEFUL SITUATIONS
Keywords:
Information leakage, data lineage, accountability, algorithm design and analysis, fingerprinting, oblivious transfer, watermarking, public key cryptosystemsAbstract
Intentional or unintended leakage of private data is undoubtedly one of the most severe safety threats that
administrations face in the digital era. The risk now spreads to our personal survives: a surfeit of personal information is
accessible to social networks and smartphone benefactors and is indirectly moved to untrustworthy third party and fourth
party applications. In this work, we present a generic data lineage framework LIME for data flow across multiple entities
that take two characteristic, principal roles (i.e., owner and consumer). We define the exact security guarantees required by
such a data lineage mechanism toward identification of a guilty entity, and identify the simplifying non-repudiation and
honesty assumptions. We then develop and analyze a novel accountable data transfer protocol between two entities within a
malicious environment by building upon oblivious transfer, robust watermarking, and signature primitives. Finally, we carry
out a developmental opinion to testify to the horse sense of our obligation and refer our outline handle to the real goods
deluge scenarios of goods outsourcing and nice net implements. In collective, we think about LIME, our clan outline
implement for testimony transmit, ultimate a key walk propitious achieving blameworthiness by design.
