Adding fake facts to ontologies

Suchanek, Fabian M.; Gross-Amblard, David

doi:10.1145/2187980.2188064

Cited by 1 publication

(1 citation statement)

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“…In a scenario not too different of this one which focuses on the watermarking of ontologies, we find the method of Suchanek and Gross-Amblard [24] based on the same strategy of false information insertion in order to identify the ontology owner.…”

Section: Introduction Of "Fake" Tuples And/or Attributesmentioning

confidence: 99%

Protection of Relational Databases by Means of Watermarking: Recent Advances and Challenges

Contreras¹,

Coatrieux²

2017

Advances in Security in Computing and Communications

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Databases represent today great economical and strategic concerns for both enterprises and public institutions. In that context, where data leaks, robbery as well as innocent or even hostile data degradation represent a real danger, and watermarking appears as an interesting tool. Watermarking is based on the imperceptible embedding of a message or watermark into a database in order, for instance, to determine its origin as well as to detect if it has been modified. A major advantage of watermarking in relation to other digital content protection mechanisms is that it leaves access to the data while keeping them protected by means of a watermark, independent of the data format storage. Nevertheless, it is necessary to ensure that the introduced distortion does not perturb the exploitation of the database. In this chapter, we give a general overview of the latest database watermarking methods, focusing on those dealing with distortion control. In particular, we present a recent technique based on an ontological modeling of the database semantics that represent the relationships in between attributes-relationships that should be preserved in order to avoid the appearance of incoherent and unlikely records.

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Section: Introduction Of "Fake" Tuples And/or Attributesmentioning

confidence: 99%