Evidence map›Paper›PMID 33861767›Full record

ArticlePloS one2021

Obfuscating encrypted threshold signature algorithm and its applications in cloud computing.

Yahong Li, Jianzhou Wei, Bin Wu, Chunli Wang, Caifen Wang, Yulei Zhang, Xiaodong Yang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Yahong LiSchool of Electronic and Information Engineering, Lanzhou Jiaotong University, Lanzhou, Gansu, China.ORCID 0000-0002-0912-5606
Jianzhou WeiCollege of Science, Gansu Agricultural University, Lanzhou, Gansu, China.
Bin WuCollege of Computer Science and Engineering, Northwest Normal University, Lanzhou, Gansu, China.
Chunli WangSchool of Electronic and Information Engineering, Lanzhou Jiaotong University, Lanzhou, Gansu, China.
Caifen WangCollege of Big Data and Internet, Shenzhen Technology University, Shenzhen, China.
Yulei ZhangCollege of Computer Science and Engineering, Northwest Normal University, Lanzhou, Gansu, China.
Xiaodong YangCollege of Computer Science and Engineering, Northwest Normal University, Lanzhou, Gansu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Current cloud computing causes serious restrictions to safeguarding users' data privacy. Since users' sensitive data is submitted in unencrypted forms to remote machines possessed and operated by untrusted service providers, users' sensitive data may be leaked by service providers. Program obfuscation shows the unique advantages that it can provide for cloud computing. In this paper, we construct an encrypted threshold signature functionality, which can outsource the threshold signing rights of users to cloud server securely by applying obfuscation, while revealing no more sensitive information. The obfuscator is proven to satisfy the average case virtual black box property and existentially unforgeable under the decisional linear (DLIN) assumption and computational Diffie-Hellman (CDH) assumption in the standard model. Moreover, we implement our scheme using the Java pairing-based cryptography library on a laptop.

Indexed as

AlgorithmsCloud ComputingComputer SecurityPrivacyHumans

Identifiers

PMID33861767
PMCPMC8051800

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.