title: Ontology-guided distortion control for robust-lossless database watermarking: application to inpatient hospital stay records.
abstract: In this paper, we propose a new semantic distortion control method for database watermarking. It is based on the identification of the semantic links that exist in-between attribute's values in tuples by means of an ontology. Such a database distortion control provides the capability for any watermarking scheme to avoid incoherent records and consequently ensures: i) the normal interpretation of watermarked data, i.e. introducing a watermark semantically imperceptible; ii) prevent the identification by an attacker of watermarked tuples. The solution we present herein successfully combines this semantic distortion control method with a robust lossless watermarking scheme. Experimental results conducted on a medical database of more than one half million of inpatient hospital stay records also show a non-negligible gain of performance in terms of robustness and database distortion.
authors.forename: J
authors.initials: J
authors.lastname: Franco-Contreras
authors.forename: G
authors.initials: G
authors.lastname: Coatrieux
authors.forename: N
authors.initials: N
authors.lastname: Cuppens-Boulahia
authors.forename: F
authors.initials: F
authors.lastname: Cuppens
authors.forename: C
authors.initials: C
authors.lastname: Roux
mesh_terms: D000465:Algorithms; D016208:Databases, Factual / Q000592:standards*; D006753:Hospital Records / Q000592:standards*; D006801:Humans; D007297:Inpatients; D007902:Length of Stay