Private data deduplication protocols in cloud storage

Ng, Wee Keong; Wen, Yonggang; Zhu, Huafei

doi:10.1145/2245276.2245361

Cited by 89 publications

(44 citation statements)

References 10 publications

(7 reference statements)

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“…Previous work by Ng et al [22] made the first attempt towards this goal, but gave an unsatisfactory solution: As pointed out by Xu et al [20], Ng et al [22] formulates the privacy property locally for each block and their scheme suffers from "divide and conquer" attack: If an input file with N blocks has 1 bit min-entropy in each block independently, then this file could be recovered by an outside adversary via brute force search in time O(N ) instead of O(2 N ).…”

Section: Generic Construction Of Privacy-preserving-powmentioning

confidence: 96%

Leakage Resilient Proofs of Ownership in Cloud Storage, Revisited

Zhou

2014

Applied Cryptography and Network Security

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Abstract. Client-side deduplication is a very effective mechanism to reduce both storage and communication cost in cloud storage service. Halevi et al. (CCS '11) discovered security vulnerability in existing implementation of client-side deduplication and proposed a cryptographic primitive called "proofs of ownership" (PoW) as a countermeasure. In a proof of ownership scheme, any owner of the same file can prove to the cloud storage server that he/she owns that file in an efficient and secure manner, even if a bounded amount of any efficiently extractable information of that file has been leaked. We revisit Halevi et al.'s formulation of PoW and significantly improve the understanding and construction of PoW. Our contribution is twofold:• Firstly, we propose a generic and conceptually simple approach to construct Privacy-Preserving Proofs of Ownership scheme, by leveraging on well-known primitives (i.e. Randomness Extractor and Proofs of Retrievability) and technique (i.e. sample-then-extract). Our approach can be roughly described as Privacy-Preserving PoW = Randomness Extractor + Proofs of Retrievability.• Secondly, in order to provide a better instantiation of Privacy-Preserving-PoW, we propose a novel design of randomness extractor with large output size, which improves the state of art by reducing both the random seed length and entropy loss (i.e. the difference between the entropy of input and output) simultaneously.

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Section: Generic Construction Of Privacy-preserving-powmentioning

confidence: 96%

Leakage Resilient Proofs of Ownership in Cloud Storage, Revisited

Zhou

2014

Applied Cryptography and Network Security

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“…For example, the PoW schemes in [24,25,26,15,17,27] are designed to work with honest-but-curious servers. Due to the use of CE in many existing PoW schemes such as [25,26,16,17,22], these schemes are not secure against content analysis attacks as previously discussed [16].…”

Section: Related Workmentioning

confidence: 99%

ase-PoW: A Proof of Ownership Mechanism for Cloud Deduplication in Hierarchical Environments

González-Manzano

Fuentes

Choo

2017

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Abstract. Proof-of-Ownership (PoW) can be an effective deduplication technique to reduce storage requirements, by providing cloud storage servers the capability to guarantee that clients only upload and download files that they are in possession of. In this paper, we propose an attribute symmetric encryption PoW scheme (ase-PoW) for hierarchical environments such as corporations, in which (1) the external cloud service provider is honest-but-curious and (2) there is a flexible access control in place to ensure only users with the right privilege can access sensitive files. This is, to the best of our knowledge, the first such scheme and it is built upon the ce-PoW scheme of González-Manzano and Orfila (2015). ase-PoW outperforms ce-PoW in that it does not suffer from content-guessing attacks, it reduces client storage needs and computational workload.

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“…It transfer the data based on the query. [5] S. Quinlan and S. Dorward, describes the archival data storage. It imposes a write-once policy, thwarting fortuitous or malevolent obliteration of data.…”

Section: Literature Surveymentioning

confidence: 99%

A Survey on Secure Authorized Deduplication for Outsourced Data in Hybrid Cloud

Tamizh¹,

K²

2015

International Journal of Advanced Research in Computer and Comm

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Cloud Service Providers offer highly available storage and colossally computing resources at comparatively squat fee. The storage space provided may contain more number of repeated data. Inorder to reduce the storage space and eliminate the duplicates of data, Data Deduplication technique is being used. It is one of the method that eradicates duplicate copies of repeating data to reduce the storage space and save bandwidth. Inorder to protect the confidentiality of the data, Convergent Encryption Technique has been used. It outsource the data only after it is being encrypted using the convergent key. To protect the Data Security, Differential Authorized duplicate check is being used. The deduplication is done only by the authorized user. In traditional deduplication schemes, the disparity rights of users are further considered in duplicate check besides the data itself. The new deduplication constructions supports authorized duplicate check in a hybrid cloud architecture. The proposed system includes the VAST storage system that is used for storing the valuable and secret data. It thwarts the unauthorized user to steal the information from small pieces of the data. The hacker cannot attain the entire information from small part of information, since the data is stored in the form of manageable pieces of data.

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Private data deduplication protocols in cloud storage

Cited by 89 publications

References 10 publications

Leakage Resilient Proofs of Ownership in Cloud Storage, Revisited

Leakage Resilient Proofs of Ownership in Cloud Storage, Revisited

ase-PoW: A Proof of Ownership Mechanism for Cloud Deduplication in Hierarchical Environments

A Survey on Secure Authorized Deduplication for Outsourced Data in Hybrid Cloud

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