Evidence map›Paper›PMID 36236531›Full record

ReviewSensors (Basel, Switzerland)2022

Internet of Things: Security and Solutions Survey.

Pintu Kumar Sadhu, Venkata P Yanambaka, Ahmed Abdelgawad

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

35 citing papers in PubMed.

  1. Article
  2. Article
  3. Ni-Doped SnOMicromachines · 2026
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  9. Review
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  12. Review
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  15. Article
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  17. Machine learning cryptography methods for IoT in healthcare.BMC medical informatics and decision making · 2024
    Article
  18. Article
  19. Article
  20. 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

3 authors.

Pintu Kumar SadhuCollege of Science and Engineering, Central Michigan University, Mount Pleasant, MI 48858, USA.ORCID 0000-0002-1847-1973
Venkata P YanambakaDepartment of Mathematics and Computer Science, Texas Woman's University, Denton, TX 76204, USA.ORCID 0000-0003-4625-8050
Ahmed AbdelgawadCollege of Science and Engineering, Central Michigan University, Mount Pleasant, MI 48858, USA.ORCID 0000-0002-6655-2065

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The overwhelming acceptance and growing need for Internet of Things (IoT) products in each aspect of everyday living is creating a promising prospect for the involvement of humans, data, and procedures. The vast areas create opportunities from home to industry to make an automated lifecycle. Human life is involved in enormous applications such as intelligent transportation, intelligent healthcare, smart grid, smart city, etc. A thriving surface is created that can affect society, the economy, the environment, politics, and health through diverse security threats. Generally, IoT devices are susceptible to security breaches, and the development of industrial systems could pose devastating security vulnerabilities. To build a reliable security shield, the challenges encountered must be embraced. Therefore, this survey paper is primarily aimed to assist researchers by classifying attacks/vulnerabilities based on objects. The method of attacks and relevant countermeasures are provided for each kind of attack in this work. Case studies of the most important applications of the IoT are highlighted concerning security solutions. The survey of security solutions is not limited to traditional secret key-based cryptographic solutions, moreover physical unclonable functions (PUF)-based solutions and blockchain are illustrated. The pros and cons of each security solution are also discussed here. Furthermore, challenges and recommendations are presented in this work.

Indexed as

BlockchainInternet of ThingsComputer SecurityDelivery of Health CareHumansauthentication frameworkblockchaincryptographyInternet of Thingsphysical unclonable functionsecurity and privacy

Identifiers

PMID36236531
PMCPMC9571254

What OpenQuestion holds

Textmetadata
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.