Evidence map›Paper›PMID 35590800›Full record

ArticleSensors (Basel, Switzerland)2022

RAFI: Robust Authentication Framework for IoT-Based RFID Infrastructure.

Vikas Kumar, Rahul Kumar, Akber Ali Khan, Vinod Kumar, Yu-Chi Chen, Chin-Chieh Chang

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. 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.

Vikas KumarDepartment of Mathematics, SSV College, Hapur 245101, Uttar Pradesh, India.
Rahul KumarDepartment of Mathematics, SSV College, Hapur 245101, Uttar Pradesh, India.
Akber Ali KhanB. S. Anangpuria Institute of Technology and Management, Faridabad 121004, Haryana, India.ORCID 0000-0001-7525-8864
Vinod KumarDepartment of Mathematics, PGDAV College, University of Delhi, New Delhi 110065, Delhi, India.ORCID 0000-0002-2939-1100
Yu-Chi ChenDepartment of Computer Science and Engineering, Yuan Ze University, Taoyuan 320, Taiwan.ORCID 0000-0002-5577-0016
Chin-Chieh ChangDepartment of Accounting Information, National Taipei University of Business, Taipei 100, Taiwan.

Funding

Ministry of Science and Technology, Taiwan 109-2628-E-155-001-MY3
6 · The paper itself

Abstract

The Internet of Things (IoT) is a future trend that uses the Internet to connect a variety of physical things with the cyber world. IoT technology is rapidly evolving, and it will soon have a significant impact on our daily lives. While the growing number of linked IoT devices makes our daily lives easier, it also puts our personal data at risk. In IoT applications, Radio Frequency Identification (RFID) helps in the automatic identification of linked devices, and the dataflow of the system forms a symmetry in communication between the tags and the readers. However, the security and privacy of RFID-tag-connected devices are the key concerns. The communication link is thought to be wireless or insecure, making the RFID system open to several known threats. In order to address these security issues, we propose a robust authentication framework for IoT-based RFID infrastructure. We use formal security analysis in the random oracle model, as well as information analysis to support the claim of secure communication. Regarding the desirable performance characteristics, we describe and analyze the proposed framework's performance and compare it to similar systems. According to our findings, the proposed framework satisfies all security requirements while also improving the communication.

Indexed as

authenticationIoTrandom oracle modelRFIDsecurity

Identifiers

PMID35590800
PMCPMC9099869

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.