Evidence map›Paper›PMID 36904822›Full record

ArticleSensors (Basel, Switzerland)2023

Secured and Privacy-Preserving Multi-Authority Access Control System for Cloud-Based Healthcare Data Sharing.

Reetu Gupta, Priyesh Kanungo, Nirmal Dagdee, Golla Madhu, Kshira Sagar Sahoo, N Z Jhanjhi, Mehedi Masud, Nabil Sharaf Almalki, Mohammed A AlZain

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In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

9 authors.

Reetu GuptaSchool of Computer Science and Information Technology, Devi Ahilya Vishwavidyalaya, Indore 452001, India.
Priyesh KanungoSchool of Computer Science and Information Technology, Devi Ahilya Vishwavidyalaya, Indore 452001, India.
Nirmal DagdeeSKITM College, Indore 452020, India.
Golla MadhuDepartment of Information Technology, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad 500090, India.ORCID 0000-0002-4170-3146
Kshira Sagar SahooDepartment of CSE, SRM University, Amaravati 522240, India.ORCID 0000-0002-6435-5738
N Z JhanjhiSchool of Computer Science, SCS Taylors University, Subang Jaya 47500, Malaysia.ORCID 0000-0001-8116-4733
Mehedi MasudDepartment of Computer Science, College of Computers and Information Technology, Taif University, Taif 21944, Saudi Arabia.ORCID 0000-0001-6019-7245
Nabil Sharaf AlmalkiDepartment of Special Education, College of Education, King Saud University, Riyadh 145111, Saudi Arabia.
Mohammed A AlZainDepartment of Information Technology, College of Computers and Information Technology, Taif University, Taif 21944, Saudi Arabia.ORCID 0000-0001-5595-4280

Funding

King Saud University Researchers Supporting Project number (RSPD2023R521)
6 · The paper itself

Abstract

With continuous advancements in Internet technology and the increased use of cryptographic techniques, the cloud has become the obvious choice for data sharing. Generally, the data are outsourced to cloud storage servers in encrypted form. Access control methods can be used on encrypted outsourced data to facilitate and regulate access. Multi-authority attribute-based encryption is a propitious technique to control who can access encrypted data in inter-domain applications such as sharing data between organizations, sharing data in healthcare, etc. The data owner may require the flexibility to share the data with known and unknown users. The known or closed-domain users may be internal employees of the organization, and unknown or open-domain users may be outside agencies, third-party users, etc. In the case of closed-domain users, the data owner becomes the key issuing authority, and in the case of open-domain users, various established attribute authorities perform the task of key issuance. Privacy preservation is also a crucial requirement in cloud-based data-sharing systems. This work proposes the SP-MAACS scheme, a secure and privacy-preserving multi-authority access control system for cloud-based healthcare data sharing. Both open and closed domain users are considered, and policy privacy is ensured by only disclosing the names of policy attributes. The values of the attributes are kept hidden. Characteristic comparison with similar existing schemes shows that our scheme simultaneously provides features such as multi-authority setting, expressive and flexible access policy structure, privacy preservation, and scalability. The performance analysis carried out by us shows that the decryption cost is reasonable enough. Furthermore, the scheme is demonstrated to be adaptively secure under the standard model.

Indexed as

ConfidentialityPrivacyCloud ComputingComputer SecurityDelivery of Health CareHumansInformation Disseminationaccess controlattribute-based encryptioncloud storageelectronic health recordsmultiple authoritiesprivacy preservation

Identifiers

PMID36904822
PMCPMC10007450

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table measurements read7
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.