Evidence map›Paper›PMID 38983196›Full record

ArticlePeerJ. Computer science2024

Efficient security level in wireless sensor networks (WSNs) using four-factors authentication over the Internet of Things (IoT).

Albandari Alsumayt, Majid Alshammari, Zeyad M Alfawaer, Fahd N Al-Wesabi, Nahla El-Haggar, Sumayh S Aljameel, Sarah Albassam, Shahad AlGhareeb, Nouf Mohammed Alghamdi, Nawir Aldossary

Abstract read
In one paragraph

Article in PeerJ. Computer science, 2024. 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. Review
  2. Article
  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

10 authors.

Albandari AlsumaytDepartment of Computer Science, Applied College, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.
Majid AlshammariDepartment of Information Technology, College of Computers and Information Technology, Taif University, Taif, Saudi Arabia.
Zeyad M AlfawaerDepartment of Computer Science, Applied College, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.
Fahd N Al-WesabiDepartment of Computer Science, College of Science & Art, King Khalid University, Mahayil, Saudi Arabia.
Nahla El-HaggarDepartment of Computer Science, Applied College, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.
Sumayh S AljameelSaudi Aramco Cybersecurity Chair, Department of Computer Science, College of Computer Science and Information Technology, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.
Sarah AlbassamSaudi Aramco Cybersecurity Chair, Department of Networks and Communications, College of Computer Science and Information Technology, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.
Shahad AlGhareebSaudi Aramco Cybersecurity Chair, Department of Networks and Communications, College of Computer Science and Information Technology, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.
Nouf Mohammed AlghamdiSaudi Aramco Cybersecurity Chair, Department of Networks and Communications, College of Computer Science and Information Technology, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.
Nawir AldossarySaudi Aramco Cybersecurity Chair, Department of Networks and Communications, College of Computer Science and Information Technology, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the increasing demand for the use of technology in all matters of daily life and business, the demand has increased dramatically to transform business electronically especially regards COVID-19. The Internet of Things (IoT) has greatly helped in accomplishing tasks. For example, at a high temperature, it would be possible to switch on the air conditioner using a personal mobile device while the person is in the car. The Internet of Things (IoT) eases lots of tasks. A wireless sensor network is an example of IoT. Wireless sensor network (WSN) is an infrastructure less self-configured that can monitor environmental conditions such as vibration, temperature, wind speed, sound, pressure, and vital signs. Thus, WSNs can occur in many fields. Smart homes give a good example of that. The security concern is important, and it is an essential requirement to ensure secure data. Different attacks and privacy concerns can affect the data. Authentication is the first defence line against threats and attacks. This study proposed a new protocol based on using four factors of authentication to improve the security level in WSN to secure communications. The simulation results prove the strength of the proposed method which reflects the importance of the usage of such protocol in authentication areas.

Indexed as

AuthenticationFederated learningFingerprint biometricsHomomorphic encryptionIoTPrivacySecurityUltrasonic sensorWSN

Identifiers

PMID38983196
PMCPMC11232626

What OpenQuestion holds

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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.