Shuffle Index

Author:

Vimercati Sabrina De Capitani Di1,Foresti Sara1,Paraboschi Stefano2,Pelosi Gerardo3ORCID,Samarati Pierangela1

Affiliation:

1. Università degli Studi di Milano, Crema CR, Italy

2. Università degli Studi di Bergamo, Dalmine BG, Italy

3. Politecnico di Milano, Milano (MI), Italy

Abstract

Data outsourcing and cloud computing have been emerging at an ever-growing rate as successful approaches for allowing users and companies to rely on external services for storing and managing data. As data and access to them are not under the control of the data owner, there is a clear need to provide proper confidentiality protection. Such requirements concern the confidentiality not only of the stored data (content) but also of the specific accesses (or patterns of them) that users make on such data. In this article, we address these issues and propose an approach for guaranteeing content, access, and pattern confidentiality in a data outsourcing scenario. The proposed solution is based on the definition of a shuffle index structure, which adapts traditional B +-trees and, by applying a combination of techniques (covers, caches, and shuffling), ensures confidentiality of the data and of queries over them, protecting each single access as well as sequences thereof. The proposed solution also supports update operations over the data, while making reads and writes not recognizable as such by the server. We show that the shuffle index exhibits a limited performance cost, thus resulting effectively usable in practice.

Funder

Italian MIUR within project “GenData 2020.”

EC

Publisher

Association for Computing Machinery (ACM)

Subject

Hardware and Architecture

Cited by 14 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Architecture for Confidential Digital Asset Transfer on Blockchain Through Obfuscation;2023 IEEE 31st International Conference on Network Protocols (ICNP);2023-10-10

2. Protecting Data and Queries in Cloud-Based Scenarios;SN Computer Science;2023-06-10

3. Secure and distributed assessment of privacy-preserving GWAS releases;Proceedings of the 23rd ACM/IFIP International Middleware Conference;2022-11-07

4. Shuffle Index;Encyclopedia of Cryptography, Security and Privacy;2022

5. Low-Cost Hiding of the Query Pattern;Proceedings of the 2021 ACM Asia Conference on Computer and Communications Security;2021-05-24

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3