Enabling Compressed Encryption for Cloud Based Big Data Stores

  • Meng Zhang
  • , Saiyu Qi
  • , Meixia Miao
  • , Fuyou Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Scopus citations

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.

Original languageEnglish
Title of host publicationCryptology and Network Security - 18th International Conference, CANS 2019, Proceedings
EditorsYi Mu, Xinyi Huang, Robert H. Deng
PublisherSpringer
Pages270-287
Number of pages18
ISBN (Print)9783030315771
DOIs
StatePublished - 2019
Externally publishedYes
Event18th International Conference on Cryptology and Network Security, CANS 2019 - Fuzhou, China
Duration: 25 Oct 201927 Oct 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11829 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference18th International Conference on Cryptology and Network Security, CANS 2019
Country/TerritoryChina
CityFuzhou
Period25/10/1927/10/19

Keywords

  • Compression
  • Encryption
  • Key-value store

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