TY - JOUR
T1 - Survey of secure data deduplication schemes for cloud storage systems
AU - Shin, Youngjoo
AU - Koo, Dongyoung
AU - Hur, Junbeom
N1 - Funding Information:
This work was supported by a Korea University Grant and by a National Research Foundation of Korea (NRF) grant funded by the Korean government (MSIP) (no. 2016R1A2A2A05005402).
Publisher Copyright:
© 2017 ACM.
PY - 2017/1
Y1 - 2017/1
N2 - Data deduplication has attracted many cloud service providers (CSPs) as a way to reduce storage costs. Even though the general deduplication approach has been increasingly accepted, it comes with many security and privacy problems due to the outsourced data delivery models of cloud storage. To deal with specific security and privacy issues, secure deduplication techniques have been proposed for cloud data, leading to a diverse range of solutions and trade-offs. Hence, in this article, we discuss ongoing research on secure deduplication for cloud data in consideration of the attack scenarios exploited most widely in cloud storage. On the basis of classification of deduplication system, we explore security risks and attack scenarios from both inside and outside adversaries. We then describe state-of-The-Art secure deduplication techniques for each approach that deal with different security issues under specific or combined threat models, which include both cryptographic and protocol solutions. We discuss and compare each scheme in terms of security and efficiency specific to different security goals. Finally, we identify and discuss unresolved issues and further research challenges for secure deduplication in cloud storage.
AB - Data deduplication has attracted many cloud service providers (CSPs) as a way to reduce storage costs. Even though the general deduplication approach has been increasingly accepted, it comes with many security and privacy problems due to the outsourced data delivery models of cloud storage. To deal with specific security and privacy issues, secure deduplication techniques have been proposed for cloud data, leading to a diverse range of solutions and trade-offs. Hence, in this article, we discuss ongoing research on secure deduplication for cloud data in consideration of the attack scenarios exploited most widely in cloud storage. On the basis of classification of deduplication system, we explore security risks and attack scenarios from both inside and outside adversaries. We then describe state-of-The-Art secure deduplication techniques for each approach that deal with different security issues under specific or combined threat models, which include both cryptographic and protocol solutions. We discuss and compare each scheme in terms of security and efficiency specific to different security goals. Finally, we identify and discuss unresolved issues and further research challenges for secure deduplication in cloud storage.
KW - Deterministic information dispersal
KW - Message-dependent encryption
KW - Proof of ownership
KW - Traffic obfuscation
UR - http://www.scopus.com/inward/record.url?scp=85011418894&partnerID=8YFLogxK
U2 - 10.1145/3017428
DO - 10.1145/3017428
M3 - Article
AN - SCOPUS:85011418894
SN - 0360-0300
VL - 49
JO - ACM Computing Surveys
JF - ACM Computing Surveys
IS - 4
M1 - 3017428
ER -