Evidence map›Paper›PMID 37448955›Full record

ArticleIEEE internet of things journal2022

Hash-MAC-DSDV: Mutual Authentication for Intelligent IoT-Based Cyber-Physical Systems.

Muhammad Adil, Mian Ahmad Jan, Spyridon Mastorakis, Houbing Song, Muhammad Mohsin Jadoon, Safia Abbas, Ahmed Farouk

Abstract read
In one paragraph

Article in IEEE internet of things journal, 2022. 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
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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

7 authors.

Muhammad AdilDepartment of Computer Science, Virtual University of Pakistan, 54-Lawrence Road, Lahore 54000, Pakistan.
Mian Ahmad JanDepartment of Computer Science, Abdul Wali Khan University Mardan, Pakistan.
Spyridon MastorakisComputer Science Department, University of Nebraska at Omaha, Omaha, USA.
Houbing SongDepartment of Electrical Engineering and Computer Science, Embry-Riddle Aeronautical University, USA.
Muhammad Mohsin JadoonDepartment of Radiology and imaging, Yale University, New Haven, CT, USA and Department of Electrical Engineering, International Islamic University Islamabad.
Safia AbbasComputer Science Department, Princess Nourah Bint Abdul rahman University, KSA.
Ahmed FaroukComputer Science and Physics Department, Wilfrid Laurier University.

Funding

Visual control of locomotion in people with Parkinsons diseaseP20GM109090 · NIGMS · UNIVERSITY OF NEBRASKA OMAHA · PI KNARR, BRIAN ANDREW · 2014 to 2023
$20.5M
NIGMS NIH HHS P20 GM109090
6 · The paper itself

Abstract

Cyber-Physical Systems (CPS) connected in the form of Internet of Things (IoT) are vulnerable to various security threats, due to the infrastructure-less deployment of IoT devices. Device-to-Device (D2D) authentication of these networks ensures the integrity, authenticity, and confidentiality of information in the deployed area. The literature suggests different approaches to address security issues in CPS technologies. However, they are mostly based on centralized techniques or specific system deployments with higher cost of computation and communication. It is therefore necessary to develop an effective scheme that can resolve the security problems in CPS technologies of IoT devices. In this paper, a lightweight Hash-MAC-DSDV (Hash Media Access Control Destination Sequence Distance Vector) routing scheme is proposed to resolve authentication issues in CPS technologies, connected in the form of IoT networks. For this purpose, a CPS of IoT devices (multi-WSNs) is developed from the local-chain and public chain, respectively. The proposed scheme ensures D2D authentication by the Hash-MAC-DSDV mutual scheme, where the MAC addresses of individual devices are registered in the first phase and advertised in the network in the second phase. The proposed scheme allows legitimate devices to modify their routing table and unicast the one-way hash authentication mechanism to transfer their captured data from source towards the destination. Our evaluation results demonstrate that Hash-MAC-DSDV outweighs the existing schemes in terms of attack detection, energy consumption and communication metrics.

Indexed as

Device to Device authenticationHash-MAC-DSDVInternet of Things (IoT)Local and public chainssecurity

Identifiers

PMID37448955
PMCPMC10338022

What OpenQuestion holds

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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.