%0 Conference Proceedings
%T Enforcing Privacy in Cloud Databases
%+ Entrepôts, Représentation et Ingénierie des Connaissances (ERIC)
%A Sobati Moghadam, Somayeh
%A Darmont, Jérôme
%A Gavin, Gérald
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 19th International Conference on Big Data Analytics and Knowledge Discovery (DaWaK 2017)
%C Lyon, France
%I Springer
%3 Proceedings of the 19th International Conference on Big Data Analytics and Knowledge Discovery (DaWaK 2017)
%V 10440
%P 53-73
%8 2017-08-28
%D 2017
%Z 1708.09171
%K Databases
%K Cloud Computing
%K DBaaS
%K Data Privacy
%K Data Encryption
%Z Computer Science [cs]/Databases [cs.DB]
%Z Computer Science [cs]/Cryptography and Security [cs.CR]Conference papers
%X Outsourcing databases, i.e., resorting to Database-as-a-Service (DBaaS), is nowadays a popular choice due to the elasticity, availability, scalability and pay-as-you-go features of cloud computing. However, most data are sensitive to some extent, and data privacy remains one of the top concerns to DBaaS users, for obvious legal and competitive reasons.In this paper, we survey the mechanisms that aim at making databases secure in a cloud environment, and discuss current pitfalls and related research challenges.
%G English
%2 https://hal.science/hal-01523938/document
%2 https://hal.science/hal-01523938/file/securing-cloud-db.pdf
%L hal-01523938
%U https://hal.science/hal-01523938
%~ UNIV-LYON1
%~ UNIV-LYON2
%~ ERIC
%~ LABEXIMU
%~ LYON2
%~ UDL
%~ UNIV-LYON