@inproceedings{5175d246062b4abfa53bf1610f037154,
title = "A privacy-preserving top-k query processing algorithm in the cloud computing",
abstract = "Cloud computing has emerged as a new platform for storing and managing databases. As a result, a database outsourcing paradigm has gained much interests. To prevent the contents of outsourced databases from being revealed to cloud computing, databases must be encrypted before being outsourced to the cloud. Therefore, various Top-k query processing techniques have been proposed for encrypted databases. However, there is no existing work that can not only hide data access patterns, but also preserve the privacy of user query. To solve the problems, in this paper, we propose a new privacypreserving Top-k query processing algorithm. Our algorithm protects the user query from the cloud and conceals data access patterns during query processing. A performance analysis shows that the proposed scheme provide good scalability without any information leakage.",
keywords = "Cloud computing, Database encryption, Database outsourcing, Hiding data access patterns, Privacy-preserving top-k query processing",
author = "Kim, \{Hyeong Il\} and Kim, \{Hyeong Jin\} and Chang, \{Jae Woo\}",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2017.; 13th International Conference on Economics of Grids, Clouds, Systems, and Services, GECON 2016 ; Conference date: 20-09-2016 Through 22-09-2016",
year = "2017",
doi = "10.1007/978-3-319-61920-0\_20",
language = "English",
isbn = "9783319619194",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "277--292",
editor = "Banares, \{Jose Angel\} and Jorn Altmann and Konstantinos Tserpes",
booktitle = "Economics of Grids, Clouds, Systems, and Services - 13th International Conference, GECON 2016, Revised Selected Papers",
}