@inproceedings{aee8ede434c9483d9c42c00d79f915e2,
title = "Efficient distributed index structure and encrypted query processing scheme for cloud computing environment",
abstract = "To the best of our knowledge, there has been no research on index structure for the encrypted data. In addition, the existing query processing schemes over the encrypted data can support limited types of queries [1–3]. To solve the problems, in this paper, we propose a distributed index structure and a query processing scheme for the encrypted data. The proposed distributed index structure guarantees data privacy preservation and performance improvement for the various types of queries. In addition, the proposed query processing scheme provide both high query performance and 100\% accuracy while preserving the data privacy. Finally, we show from our performance analysis that our proposed index structure and query processing scheme are suitable for protecting the data privacy of the mobile sensitive data.",
keywords = "Data encryption, Distributed index structure, Encrypted query processing, Mobile data privacy",
author = "Yeonwoo Jang and Hyunjo Lee and Chang, \{Jae Woo\}",
note = "Publisher Copyright: {\textcopyright} Springer Nature Singapore Pte Ltd. 2017.; 12th International Conference on Future Information Technology, FutureTech 2017 ; Conference date: 22-05-2017 Through 24-05-2017",
year = "2017",
doi = "10.1007/978-981-10-5041-1\_80",
language = "English",
isbn = "9789811050404",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Verlag",
pages = "499--505",
editor = "Park, \{James J.\} and Shu-Ching Chen and \{Raymond Choo\}, Kim-Kwang",
booktitle = "Advanced Multimedia and Ubiquitous Engineering - MUE/FutureTech 2017",
}