Evidence map›Paper›PMID 37447769›Full record

ArticleSensors (Basel, Switzerland)2023

Attribute-Based Encryption Schemes for Next Generation Wireless IoT Networks: A Comprehensive Survey.

Shruti, Shalli Rani, Dipak Kumar Sah, Gabriele Gianini

Abstract read
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 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
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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

4 authors.

ShrutiGoswami Ganesh Dutta Sanatan Dharma College, Chandigarh 160030, India.ORCID 0000-0002-6528-3457
Shalli RaniChitkara University Institute of Engineering and Technology, Chitkara University, Punjab 140401, India.ORCID 0000-0002-8474-9435
Dipak Kumar SahDepartment of Computer Engineering and Applications, GLA University, Mathura 281406, Uttar Pradesh, India.
Gabriele GianiniDipartimento di Informatica, Università degli Studi di Milano, Via Celoria 18, 20133 Milano, Italy.ORCID 0000-0001-5186-0199

Funding

European Union MUSA CUP G43C22001370007, Code ECS000000European Union SERICS PE0000001
6 · The paper itself

Abstract

Most data nowadays are stored in the cloud; therefore, cloud computing and its extension-fog computing-are the most in-demand services at the present time. Cloud and fog computing platforms are largely used by Internet of Things (IoT) applications where various mobile devices, end users, PCs, and smart objects are connected to each other via the internet. IoT applications are common in several application areas, such as healthcare, smart cities, industries, logistics, agriculture, and many more. Due to this, there is an increasing need for new security and privacy techniques, with attribute-based encryption (ABE) being the most effective among them. ABE provides fine-grained access control, enables secure storage of data on unreliable storage, and is flexible enough to be used in different systems. In this paper, we survey ABE schemes, their features, methodologies, benefits/drawbacks, attacks on ABE, and how ABE can be used with IoT and its applications. This survey reviews ABE models suitable for IoT platforms, taking into account the desired features and characteristics. We also discuss various performance indicators used for ABE and how they affect efficiency. Furthermore, some selected schemes are analyzed through simulation to compare their efficiency in terms of different performance indicators. As a result, we find that some schemes simultaneously perform well in one or two performance indicators, whereas none shines in all of them at once. The work will help researchers identify the characteristics of different ABE schemes quickly and recognize whether they are suitable for specific IoT applications. Future work that may be helpful for ABE is also discussed.

Indexed as

Computer SecurityInternet of ThingsCloud ComputingDelivery of Health CarePrivacyattribute-based encryptioncryptographic methodsfine-grained access controlInternet of Thingsprivacysecurity

Identifiers

PMID37447769
PMCPMC10346245

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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.