Distributed privacy-preserving methods for statistical disclosure control

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5939 LNCS, Issue , 2010, Pages 33-47

  Herranz, Javier ^a   Nin, Jordi ^b   Torra, Vicenç ^c  

^a UNIVERSITAT POLITÈCNICA DE CATALUNYA   (Spain)

^b LAAS CNRS   (France)

^c ARTIFICIAL INTELLIGENCE RESEARCH INSTITUTE IIIA CSIC   (Spain)

Author keywords

Homomorphic encryption; Privacy; Statistical disclosure control

Indexed keywords

CONFIDENTIAL INFORMATION; GLOBAL DATABASE; HOMOMORPHIC-ENCRYPTIONS; NOISE ADDITION; PERTURBATION METHOD; PRIVACY PRESERVING; PROTECTION METHODS; RESAMPLING; SENSITIVE INFORMATIONS; STATISTICAL DISCLOSURE CONTROL; STATISTICAL INFORMATION;

CRYPTOGRAPHY; DATABASE SYSTEMS; IMAGE QUALITY; PERTURBATION TECHNIQUES; PHASE MEASUREMENT; STATISTICS; TECHNICAL PRESENTATIONS;

DATA PRIVACY;

EID: 77951599720     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-11207-2_4     Document Type: Conference Paper

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