%0 Conference Proceedings
%T Secure Order-Preserving Indexing Schemes for Outsourced Data
%+ Entrepôts, Représentation et Ingénierie des Connaissances (ERIC)
%A Sobati Moghadam, Somayeh
%A Gavin, Gérald
%A Darmont, Jérôme
%< avec comité de lecture
%B 50th IEEE International Carnahan Conference on Security Technology (ICCST 2016)
%C Orlando, FL, United States
%3 Proceedings of the 50th IEEE International Carnahan Conference on Security Technology (ICCST 2016)
%P 297-303
%8 2016-10-24
%D 2016
%K Order-preserving indexing scheme
%K Cloud computing
%K Data privacy
%Z Computer Science [cs]/Databases [cs.DB]
%Z Computer Science [cs]/Cryptography and Security [cs.CR]Conference papers
%X Cloud computing offers the opportunity of data outsourcing as well as data management. However, because of various privacy issues, confidential data must be encrypted before being outsourced to the cloud. But query processing over encrypted data without decrypting data is a very challenging task. Property-preserving encryption schemes allow encrypting data while still enabling efficient querying over encrypted data. The inherent merits of property-preserving encryption schemes make them very suitable and efficient for cloud data outsourcing. However, the security of such schemes is still a challenge because they are vulnerable to statistical attacks. We present a new order-preserving scheme for indexing encrypted data, as an alternative to property-preserving schemes, which hides data frequency to achieve a strictly stronger notion of security. The proposed indexing method is secure against statistical attacks. Hence, data cannot be recovered from indexes. Moreover, our scheme is still efficient for query processing
%G English
%2 https://hal.science/hal-01380020/document
%2 https://hal.science/hal-01380020/file/ICCST%2716_Paper.pdf
%L hal-01380020
%U https://hal.science/hal-01380020
%~ UNIV-LYON1
%~ UNIV-LYON2
%~ ERIC
%~ LABEXIMU
%~ LYON2
%~ UDL
%~ UNIV-LYON