@inproceedings{23f4f75e01054bee95ee12352a882aea,
title = "Enabling Compressed Encryption for Cloud Based Big Data Stores",
abstract = "We propose a secure yet efficient data query system for cloud-based key-value store. Our system supports encryption and compression to ensure confidentiality and query efficiency simultaneously. To reconcile encryption and compression without compromising performance, we propose a new encrypted key-value storage structure based on the concept of horizontal-vertical division. Our storage structure enables fine-grained access to compressed yet encrypted key-value data. We further combine several cryptographic primitives to build secure search indexes on the storage structure. As a result, our system supports rich types of queries including key-value query and range query. We implement a prototype of our system on top of Cassandra. Our evaluation shows that our system increases the throughput by up to 7 times and compression ratio by up to 1.3 times with respect to previous works.",
keywords = "Compression, Encryption, Key-value store",
author = "Meng Zhang and Saiyu Qi and Meixia Miao and Fuyou Zhang",
note = "Publisher Copyright: {\textcopyright} 2019, Springer Nature Switzerland AG.; 18th International Conference on Cryptology and Network Security, CANS 2019 ; Conference date: 25-10-2019 Through 27-10-2019",
year = "2019",
doi = "10.1007/978-3-030-31578-8\_15",
language = "英语",
isbn = "9783030315771",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer",
pages = "270--287",
editor = "Yi Mu and Xinyi Huang and Deng, \{Robert H.\}",
booktitle = "Cryptology and Network Security - 18th International Conference, CANS 2019, Proceedings",
}