Evidence map›Paper›PMID 32825602›Full record

ArticleSensors (Basel, Switzerland)2020

A Secure and Lightweight Fine-Grained Data Sharing Scheme for Mobile Cloud Computing.

Haifeng Li, Caihui Lan, Xingbing Fu, Caifen Wang, Fagen Li, He Guo

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
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

6 authors.

Haifeng LiSchool of Software, Dalian University of Technology, Dalian 116024, China.ORCID 0000-0002-4475-8310
Caihui LanSchool of Electronic and Information Engineering, Lanzhou City University, Lanzhou 730070, China.ORCID 0000-0001-7702-8173
Xingbing FuGuangxi Key Laboratory of Cryptography and Information Security, Guilin 541004, China.ORCID 0000-0002-0025-8883
Caifen WangCollege of Big Data and Internet, Shenzhen Technology University, Shenzhen 518118, China.ORCID 0000-0002-9957-7664
Fagen LiSchool of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China.ORCID 0000-0001-6289-1265
He GuoSchool of Software, Dalian University of Technology, Dalian 116024, China.

Funding

Guangxi Key Laboratory of Cryptography and Information Security No. GCIS201718National Natural Science Foundation of China No. 61602080, No. 61602084Natural Science Foundation of Zhejiang Province No. LY19F020045the Department of Education of Zhejiang Province of China No. Y201636547the Key Research Project of Zhejiang Province No. 2017C01062the Opening Project of Guangdong Provincial Key Laboratory of Information Security Technology No. 2017B030314131-05
6 · The paper itself

Abstract

With the explosion of various mobile devices and the tremendous advancement in cloud computing technology, mobile devices have been seamlessly integrated with the premium powerful cloud computing known as an innovation paradigm named Mobile Cloud Computing (MCC) to facilitate the mobile users in storing, computing and sharing their data with others. Meanwhile, Attribute Based Encryption (ABE) has been envisioned as one of the most promising cryptographic primitives for providing secure and flexible fine-grained "one to many" access control, particularly in large scale distributed system with unknown participators. However, most existing ABE schemes are not suitable for MCC because they involve expensive pairing operations which pose a formidable challenge for resource-constrained mobile devices, thus greatly delaying the widespread popularity of MCC. To this end, in this paper, we propose a secure and lightweight fine-grained data sharing scheme (SLFG-DSS) for a mobile cloud computing scenario to outsource the majority of time-consuming operations from the resource-constrained mobile devices to the resource-rich cloud servers. Different from the current schemes, our novel scheme can enjoy the following promising merits simultaneously: (1) Supporting verifiable outsourced decryption, i.e., the mobile user can ensure the validity of the transformed ciphertext returned from the cloud server; (2) resisting decryption key exposure, i.e., our proposed scheme can outsource decryption for intensive computing tasks during the decryption phase without revealing the user's data or decryption key; (3) achieving a CCA security level; thus, our novel scheme can be applied to the scenarios with higher security level requirement. The concrete security proof and performance analysis illustrate that our novel scheme is proven secure and suitable for the mobile cloud computing environment.

Indexed as

attribute-based encryption (ABE)CCA-securemobile cloud computing (MCC)outsourced decryptionverifiability

Identifiers

PMID32825602
PMCPMC7506934

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.