Methods for data validation using QR codes

Andrei Oleksik Vlad (), Alina Pitic Elena () and George Crețulescu Radu ()
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Andrei Oleksik Vlad: Computer Science and Electrical and Electronics Engineering Department, Faculty of Engineering, “Lucian Blaga” University of Sibiu, Romania
Alina Pitic Elena: Department of Mathematics and Informatics, Faculty of Sciences, “Lucian Blaga” University of Sibiu, Romania
George Crețulescu Radu: Computer Science and Electrical and Electronics Engineering Department, Faculty of Engineering, “Lucian Blaga” University of Sibiu, Romania

International Journal of Advanced Statistics and IT&C for Economics and Life Sciences, 2023, vol. 13, issue 1, 67-79

Abstract: This article aims to elaborate on a few strategies designed for validating data encoded as a QR code. As the use-cases for such validation schemes vary widely as the demand for such practices is continuously increasing, the present article will represent a comparative study of checksum, hashing, as well as asymmetric encryption algorithms for the offline validation of claims transmitted through the payload of the exchanged data. Results are evaluated based on different criteria impacting the reliability, such as the size of the QR code and the resulting security.

Keywords: Data validation; Data encoding; Checksum algorithms; Hashing Algorithms; Signature algorithms (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:vrs:ijsiel:v:13:y:2023:i:1:p:67-79:n:1

DOI: 10.2478/ijasitels-2023-0008

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