Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 412

The DOI matches its Crossref record.

A Hybrid Cloud Approach for Secure Authorized Deduplication

Li, Jin, Li, Yan Kit, Chen, Xiaofeng, Lee, Patrick P.C., Lou, Wenjing·2015·IEEE Transactions on Parallel and Distributed Systems

Abstract

Data deduplication is one of important data compression techniques for eliminating duplicate copies of repeating data, and has been widely used in cloud storage to reduce the amount of storage space and save bandwidth. To protect the confidentiality of sensitive data while supporting deduplication, the convergent encryption technique has been proposed to encrypt the data before outsourcing. To better protect data security, this paper makes the first attempt to formally address the problem of authorized data deduplication. Different from traditional deduplication systems, the differential privileges of users are further considered in duplicate check besides the data itself. We also present several new deduplication constructions supporting authorized duplicate check in a hybrid cloud architecture. Security analysis demonstrates that our scheme is secure in terms of the definitions specified in the proposed security model. As a proof of concept, we implement a prototype of our proposed authorized duplicate check scheme and conduct testbed experiments using our prototype. We show that our proposed authorized duplicate check scheme incurs minimal overhead compared to normal operations.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1109/tpds.2014.2318320

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

See all 412

Metadata

Authors
Li, J., Li, Y. K., Chen, X., Lee, P. P. C., & Lou, W.
Venue
IEEE Transactions on Parallel and Distributed Systems
Published
2015-05-01
Volume
26
Issue
5
Pages
1206-1216
ISSN
1045-9219 (ISSN-L)
OpenAlex
W2037902920
Cited by
412
References
0
FWCI
111.87
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: A Hybrid Cloud Approach for Secure Authorized Deduplication. https://app.cochat.ai/papers/10.1109/tpds.2014.2318320
The paper
Li, J., Li, Y. K., Chen, X., Lee, P. P. C., & Lou, W. (2015). A Hybrid Cloud Approach for Secure Authorized Deduplication. IEEE Transactions on Parallel and Distributed Systems. https://doi.org/10.1109/tpds.2014.2318320

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.