@inproceedings{a32817c48455432fb3882afe0c69ba00,
title = "Cache view based Top-k query processing for encrypted data analysis",
abstract = "With the development of cloud computing technology, database outsourcing has recently attracted much interest. However, because the users' data may contain sensitive personal information, it is essential to encrypt the database to be outsourced for protecting users' privacy. Meanwhile, cachebased Top-k query processing schemes were proposed to support efficient analysis of a large amount of data. However, the existing works have a problem that they cannot process a Top-k query on the encrypted data. To solve this problem, we propose a cache view-based Top-k query processing algorithm by using an order-preserving encrypted index. To improve the performance of the top-k query processing, we newly design a score function for calculating the similarity between a given query and the cached query. Finally, we show from the performance analysis that our scheme outperforms the existing work in terms of the query processing time and the query result accuracy.",
keywords = "Cache history based encrypted Top-k query, Sensitive data, Similarity base score function, Top-k query processing",
author = "Miyoung Jang and Ahra Cho and Jaewoo Chang",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2015.; 6th FTRA International Conference on Computer Science and its Applications, CSA 2014 ; Conference date: 17-12-2014 Through 19-12-2014",
year = "2015",
doi = "10.1007/978-3-662-45402-2\_102",
language = "English",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Verlag",
pages = "725--730",
editor = "Jeong, \{Hwa Young\} and Ivan Stojmenovic and Park, \{James J.\} and Gangman Yi",
booktitle = "Computer Science and Its Applications - Ubiquitous Information Technologies",
}