Evidence map›Paper›PMID 37631804›Full record

ArticleSensors (Basel, Switzerland)2023

Fortifying Smart Home Security: A Robust and Efficient User-Authentication Scheme to Counter Node Capture Attacks.

Iqra Asghar, Muhammad Ayaz Khan, Tahir Ahmad, Subhan Ullah, Khwaja Mansoor Ul Hassan, Attaullah Buriro

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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Iqra AsgharDepartment of Cybersecurity, Air University Islamabad, Islamabad 44000, Pakistan.
Muhammad Ayaz KhanDepartment of Computer Science, Air University Islamabad, Islamabad 44000, Pakistan.
Tahir AhmadCenter for Cybersecurity, Brunno Kessler Foundation, 38123 Trento, Italy.ORCID 0000-0001-8105-6791
Subhan UllahFaculty of Computer Science, National University of Computer and Emerging Sciences (NUCES-FAST), Islamabad 44000, Pakistan.ORCID 0000-0002-3925-621X
Khwaja Mansoor Ul HassanDepartment of Cybersecurity, Air University Islamabad, Islamabad 44000, Pakistan.
Attaullah BuriroFaculty of Engineering, Free University Bozen-Bolzano, 39100 Bolzano, Italy.ORCID 0000-0003-2723-2410

Funding

Free University of Bozen-Bolzano XX
6 · The paper itself

Abstract

In smart home environments, the interaction between a remote user and devices commonly occurs through a gateway, necessitating the need for robust user authentication. Despite numerous state-of-the-art user-authentication schemes proposed over the years, these schemes still suffer from security vulnerabilities exploited by the attackers. One severe physical attack is the node capture attack, which allows adversaries to compromise the security of the entire scheme. This research paper advances the state of the art by conducting a security analysis of user-authentication approaches regarding their vulnerability to node capture attacks resulting in revelations of several security weaknesses. To this end, we propose a secure user-authentication scheme to counter node capture attacks in smart home environments. To validate the effectiveness of our proposed scheme, we employ the BAN logic and ProVerif tool for verification. Lastly, we conduct performance analysis to validate the lightweight nature of our user-authentication scheme, making it suitable for IoT-based smart home environments.

Indexed as

node capture attacksmart home securityuser authentication

Identifiers

PMID37631804
PMCPMC10459229

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.