Evidence map›Paper›PMID 36501875›Full record

ArticleSensors (Basel, Switzerland)2022

Toward Smart Home Authentication Using PUF and Edge-Computing Paradigm.

Tsu-Yang Wu, Fangfang Kong, Liyang Wang, Yeh-Cheng Chen, Saru Kumari, Jeng-Shyang Pan

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 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. Review
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.

Tsu-Yang WuCollege of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, China.ORCID 0000-0001-8970-2452
Fangfang KongCollege of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, China.
Liyang WangCollege of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, China.
Yeh-Cheng ChenDepartment of Computer Science, University of California, Davis, CA 001313, USA.
Saru KumariDepartment of Mathematics, Chaudhary Charan Singh University, Meerut 250004, India.
Jeng-Shyang PanCollege of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, China.ORCID 0000-0002-3128-9025

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The smart home is a crucial embodiment of the internet of things (IoT), which can facilitate users to access smart home services anytime and anywhere. Due to the limited resources of cloud computing, it cannot meet users' real-time needs. Therefore, edge computing emerges as the times require, providing users with better real-time access and storage. The application of edge computing in the smart home environment can enable users to enjoy smart home services. However, users and smart devices communicate through public channels, and malicious attackers may intercept information transmitted through public channels, resulting in user privacy disclosure. Therefore, it is a critical issue to protect the secure communication between users and smart devices in the smart home environment. Furthermore, authentication protocols in smart home environments also have some security challenges. In this paper, we propose an anonymous authentication protocol that applies edge computing to the smart home environment to protect communication security between entities. To protect the security of smart devices, we embed physical unclonable functions (PUF) into each smart device. Real-or-random model, informal security analysis, and ProVerif are adopted to verify the security of our protocol. Finally, we compare our protocol with existing protocols regarding security and performance. The comparison results demonstrate that our protocol has higher security and slightly better performance.

Indexed as

Cloud ComputingCommunicationInternetNonoxynolPrivacyNonoxynoledge computingIoTPUFsmart home

Identifiers

PMID36501875
PMCPMC9740584

What OpenQuestion holds

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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.