Evidence map›Paper›PMID 35009878›Full record

ArticleSensors (Basel, Switzerland)2022

An Efficient and Secure Revocation-Enabled Attribute-Based Access Control for eHealth in Smart Society.

Shahzad Khan, Waseem Iqbal, Abdul Waheed, Gulzar Mehmood, Shawal Khan, Mahdi Zareei, Rajesh Roshan Biswal

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. 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
3.6field-weighted citation impact, top 6% of its field
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, 28 citations in OpenAlex.

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 at 5 institutions in 3 countries.

Shahzad KhanDepartment of Information Security, Military College of Signals (MCS), NUST, Islamabad 44000, Pakistan.ORCID 0000-0002-1977-6365
Waseem IqbalDepartment of Information Security, Military College of Signals (MCS), NUST, Islamabad 44000, Pakistan.ORCID 0000-0002-3616-2621
Abdul WaheedDepartment of Computer Science, Northern University, Nowshera 24100, Pakistan.ORCID 0000-0002-0974-6154
Gulzar MehmoodDepartment of Computer Science, IQRA National University, Swat Campus 19220, Pakistan.ORCID 0000-0002-4216-1246
Shawal KhanDepartment of Computer Science, COMSATS University, Islamabad 44000, Pakistan.ORCID 0000-0001-5952-8502
Mahdi ZareeiTecnologico de Monterrey, School of Engineering and Sciences, Zapopan 45201, Mexico.ORCID 0000-0001-6623-1758
Rajesh Roshan BiswalTecnologico de Monterrey, School of Engineering and Sciences, Zapopan 45201, Mexico.ORCID 0000-0001-6053-3384
Shaheed Benazir Bhutto University · PKTecnológico de Monterrey · MXIqra National University · PKNational University of Sciences and Technology · PKSeoul National University · KR

Funding

This research was funded by Tecnológico de Monterrey, Escuela de Ingeniería y Ciencias, Av. General 571 Ramón Corona 2514, Zapopan, Jalisco 45201, México MX00134544
6 · The paper itself

Abstract

The ever-growing ecosystem of the Internet of Things (IoT) integrating with the ever-evolving wireless communication technology paves the way for adopting new applications in a smart society. The core concept of smart society emphasizes utilizing information and communication technology (ICT) infrastructure to improve every aspect of life. Among the variety of smart services, eHealth is at the forefront of these promises. eHealth is rapidly gaining popularity to overcome the insufficient healthcare services and provide patient-centric treatment for the rising aging population with chronic diseases. Keeping in view the sensitivity of medical data, this interfacing between healthcare and technology has raised many security concerns. Among the many contemporary solutions, attribute-based encryption (ABE) is the dominant technology because of its inherent support for one-to-many transfer and fine-grained access control mechanisms to confidential medical data. ABE uses costly bilinear pairing operations, which are too heavy for eHealth's tiny wireless body area network (WBAN) devices despite its proper functionality. We present an efficient and secure ABE architecture with outsourcing intense encryption and decryption operations in this work. For practical realization, our scheme uses elliptic curve scalar point multiplication as the underlying technology of ABE instead of costly pairing operations. In addition, it provides support for attribute/users revocation and verifiability of outsourced medical data. Using the selective-set security model, the proposed scheme is secure under the elliptic curve decisional Diffie-Hellman (ECDDH) assumption. The performance assessment and top-ranked value via the help of fuzzy logic's evaluation based on distance from average solution (EDAS) method show that the proposed scheme is efficient and suitable for access control in eHealth smart societies.

Indexed as

Computer SecurityTelemedicineAgedConfidentialityEcosystemHumansWireless Technologyaccess controlattribute-based encryptionelliptic curvesmart societywireless body area networks

Identifiers

PMID35009878
PMCPMC8749827
OpenAlexW4205494290

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.