no title in french
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Thèse
Sanitizing Microdata Without Leak
Résumé
The frontiers between humans and the digital world are tightening. Anunprecedented and rapidly increasing amount of individual data ends up nowadays intowell-structured and consistent databases. Privacy-preserving data publishing modelsand algorithms are an attempt for benefiting collectively from this wealth of data whilestill preserving the privacy of individuals. However, few works have focused on theirimplementation issues, leading to highly vulnerable practical scenarios. This thesistackles precisely this issue, benefiting from the rise of portable, large capacity, andtamper-resistant devices used as personal data servers. Its contribution is a set ofcorrect and secure protocols permitting to perform traditional non-interactive privacy-preserving data publishing algorithms and models in an original context where eachindividual manages her data autonomously through her own secure personal data server. No abstract Infos complémentaires
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degree committee member :
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associated name :
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Langue originale :
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anglais
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Date de la thèse :
2011-12-12 -
Informations sur la thèse :
Domaine : Computer Science [cs]/Databases [cs.DB] , Domaine : Computer Science [cs]/Information Retrieval [cs.IR] , Domaine : Humanities and Social Sciences/Library and information sciences -
Accès :
Distributed under a Creative Commons Attribution 4.0 International License
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