Evidence map›Paper›PMID 36433388›Full record

ArticleSensors (Basel, Switzerland)2022

An Enhanced User Authentication and Key Agreement Scheme for Wireless Sensor Networks Tailored for IoT.

Pooja Tyagi, Saru Kumari, Bander A Alzahrani, Anshay Gupta, Ming-Hour Yang

Abstract 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. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Pooja TyagiDepartment of Mathematics, Chaudhary Charan Singh University, Meerut 250004, India.
Saru KumariDepartment of Mathematics, Chaudhary Charan Singh University, Meerut 250004, India.
Bander A AlzahraniFaculty of Computing and Information Technology, King Abdulaziz University, Jeddah 21589, Saudi Arabia.ORCID 0000-0002-7118-0761
Anshay GuptaDepartment of Computer Science and Engineering, HMR Institute of Technology and Management, New Delhi 110036, India.ORCID 0000-0003-4359-450X
Ming-Hour YangDepartment of Information and Computer Engineering, Chung Yuan Christian University, Taoyuan 320314, Taiwan.ORCID 0000-0003-4773-7352

Funding

Ministry of Science and Technology MOST 111-2218-E-002-038-Ministry of Science and Technology MOST 111-2218-E-A49-013-MBK -Ministry of Science and Technology MOST 111-2221-E-033 -047 -Research and Development Scheme Dev./1043The Deanship of Scientific Research at King Abdulaziz University, Jeddah, Saudi Arabia FP-089-43
6 · The paper itself

Abstract

A security protocol for wireless transmission is essential to defend sensitive information from malicious enemies by providing a variety of facilities such as privacy of the user's information, secure session key, associated authentication, and user-repeal facility when a person's authorizations are suddenly disclosed. Singh et al. proposed an improved user authentication and key agreement system for wireless sensor networks (WSNs). Authors are sure that their protocol is secure from various attacks. Here, we find several security pitfalls in their scheme, such as an offline password-guessing attack, failure to protect the session key, and a man-in-the-middle attack. To remove the identified pitfalls found in Singh et al.'s scheme, we design an enhanced authentication scheme for WSNs tailored for IoT. We prove the reliability of our proposed protocol using the real or random (RoR) model. We also evaluate the proposed scheme with the associated schemes and show its superior efficacy as compared to its counterparts.

Indexed as

PrivacyHumansReproducibility of Resultskey agreementsmart carduser authenticationwireless sensor networks

Identifiers

PMID36433388
PMCPMC9698520

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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.