Detailed Information

Cited 5 time in webofscience Cited 7 time in scopus
Metadata Downloads

Decentralized Server-Aided Encryption for Secure Deduplication in Cloud Storage

Authors
Shin, YoungjooKoo, DongyoungYun, JoobeomHur, Junbeom
Issue Date
1-11월-2020
Publisher
IEEE COMPUTER SOC
Keywords
Encryption; Cloud computing; Servers; Scalability; Redundancy; Cloud storage; cross-tenant data deduplication; server-aided encryption; message-locked encryption
Citation
IEEE TRANSACTIONS ON SERVICES COMPUTING, v.13, no.6, pp.1021 - 1033
Indexed
SCIE
SCOPUS
Journal Title
IEEE TRANSACTIONS ON SERVICES COMPUTING
Volume
13
Number
6
Start Page
1021
End Page
1033
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/51841
DOI
10.1109/TSC.2017.2748594
ISSN
1939-1374
Abstract
Cloud storage provides scalable and low cost resources featuring economies of scale based on multi-tenant architecture. As the amount of data outsourced grows explosively, data deduplication, a technique that eliminates data redundancy, becomes essential. However, deduplication leads to problems with data confidentiality, thereby necessitating secure deduplication solutions. Server-aided encryption schemes have been proposed to achieve the strongest confidentiality but with the cost of managing a key server (KS). Previous schemes, however, are based on a centralized KS that uses only a single secret key assuming a single KS in the system. In cloud storage where multi-tenancy and scalability are crucial, such schemes degrade not only the effectiveness of deduplication but also the scalability with increasing users. In this paper, we extend server-aided encryption to a decentralized setting that consists of multiple KSs. The key idea of our proposed scheme is to construct an inter-KS deduplication algorithm, by which a cloud storage service provider can perform deduplication over ciphertexts from different KSs within a tenant or across tenants. This way, our scheme simultaneously offers flexibility of KS management and cross-tenant deduplication over encrypted data. The novelty of the approach is using a decentralized architecture that does not require any centralized entities for the coordination or pre-sharing of secrets among KSs. Therefore, it allows cloud storage services to offer high deduplication efficiency and scalability while preserving strong data confidentiality. We show the result of performance analysis on the proposed scheme by conducting extensive experiments. In addition, our security analysis demonstrate that the proposed scheme satisfies all desired security properties.
Files in This Item
There are no files associated with this item.
Appears in
Collections
Graduate School > Department of Computer Science and Engineering > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Altmetrics

Total Views & Downloads

BROWSE