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 Answering Top-k Queries over Outsourced Sensitive Data in the Cloud Sakina Mahboubi 1473984-0 Reza Akbarinia 521e1deee4724b1d0699efe11300ed33 inria.fr reza-akbarinia 172647 8354-172647 https://orcid.org/0000-0002-7098-0361 https://www.idref.fr/119863421 Patrick Valduriez b7903099e0d3ee0b492cd1c7a982e35b inria.fr patrick-valduriez 172604 22529-172604 https://orcid.org/0000-0001-6506-7538 https://scholar.google.fr/citations?user=Vj0m2A0AAAAJ&hl=fr https://www.idref.fr/028314417 Reza Akbarinia 521e1deee4724b1d0699efe11300ed33 inria.fr 2018-10-02 16:02:54 2025-08-26 15:21:01 2018-10-04 14:55:51 2018-09-03 2018-10-02 contributor Reza Akbarinia 521e1deee4724b1d0699efe11300ed33 inria.fr CCSD lirmm-01886164 https://hal-lirmm.ccsd.cnrs.fr/lirmm-01886164 mahboubi:lirmm-01886164 <i>DEXA 2018 - 29th International Conference on Database and Expert Systems Applications</i>, Sep 2018, Regensburg, Germany. pp.218-231, <a target="_blank" href="https://dx.doi.org/10.1007/978-3-319-98809-2_14">&#x27E8;10.1007/978-3-319-98809-2_14&#x27E9;</a> DEXA 2018 - 29th International Conference on Database and Expert Systems Applications, Sep 2018, Regensburg, Germany. pp.218-231, &#x27E8;10.1007/978-3-319-98809-2_14&#x27E9; HAL Authorization CNRS - Centre national de la recherche scientifique INRIA - Institut National de Recherche en Informatique et en Automatique INRIA Sophia Antipolis - Méditerranée INRIA-SOPHIA INRIA - Institut National de Recherche en Informatique et en Automatique Antenne Inria de l'université de Montpellier TESTALAIN1 Scientific Data Management Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier INRIA 2 Mathématiques, Informatique, Physique et Systèmes Université de Montpellier Université Côte d'Azur Inria 300009 Axe sécurité du LIRMM Université de Montpellier (2015-2021) International No No Yes Yes Answering Top-k Queries over Outsourced Sensitive Data in the Cloud Sakina Mahboubi 1473984-0 Reza Akbarinia 521e1deee4724b1d0699efe11300ed33 inria.fr reza-akbarinia 172647 8354-172647 https://orcid.org/0000-0002-7098-0361 https://www.idref.fr/119863421 Patrick Valduriez b7903099e0d3ee0b492cd1c7a982e35b inria.fr patrick-valduriez 172604 22529-172604 https://orcid.org/0000-0001-6506-7538 https://scholar.google.fr/citations?user=Vj0m2A0AAAAJ&hl=fr https://www.idref.fr/028314417 DEXA 2018 - 29th International Conference on Database and Expert Systems Applications 2018-09-03 2018-09-06 Regensburg Germany LNCS 11029 218-231 2018 10.1007/978-3-319-98809-2_14 http://www.dexa.org/dexa2018 English Cloud Sensitive Data Top-k Query Computer Science [cs]/Databases [cs.DB] Computer Science [cs]/Cryptography and Security [cs.CR] Conference papers Conference papers Conference papers

The cloud provides users and companies with powerful capabilities to store and process their data in third-party data centers. However, the privacy of the outsourced data is not guaranteed by the cloud providers. One solution for protecting the user data is to encrypt it before sending to the cloud. Then, the main problem is to evaluate user queries over the encrypted data. In this paper, we consider the problem of answering top-k queries over encrypted data. We propose a novel system, called BuckTop, designed to encrypt and outsource the user sensitive data to the cloud. BuckTop comes with a top-k query processing algorithm that is able to process efficiently top-k queries over the encrypted data, without decrypting the data in the cloud data centers. We implemented BuckTop and compared its performance for processing top-k queries over encrypted data with that of the popular threshold algorithm (TA) over original (plaintext) data. The results show the effectiveness of BuckTop for outsourcing sensitive data in the cloud and answering top-k queries.

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