Medical information about a person's state of health, data on the diagnostic evaluation of his symptoms and complaints, especially those related to the field of mental health, require a special reliability of the information storage system, since their disclosure often leads to stigmatization of the patient. The article proposes a new technology for storing and transmitting personal data based on ``zeroing the LSB layers'' (least significant bit (LSB) component of the Red, Green and Blue color image) and filling these layers with QR-codes containing AES-encrypted personal medical data of the patient. Specified the approach allows you to remove personal data from open access, since the presence of a barcode in the LSB layer practically does not change the image, therefore, without knowing about its presence, an attacker will not pay attention to it, moreover, using existing applications or scanners, it is impossible to read information, and decryption of information is hindered by the lack of an encryption key.
Original languageEnglish
Title of host publicationComputational Science and Its Applications- ICCSA 2022 Workshops, Proceedings
EditorsOsvaldo Gervasi, Beniamino Murgante, Sanjay Misra, Ana Maria A. C. Rocha, Chiara Garau
Place of PublicationCham
PublisherSpringer Nature
Pages680-692
Number of pages13
Volume13380
EditionSpringer
ISBN (Print)9783031105418
DOIs
StatePublished - 23 Jul 2022
Event22nd International Conference on Computational Science and Its Applications , ICCSA 2022 - Malaga, Spain
Duration: 4 Jul 20227 Jul 2022
Conference number: 22
https://iccsa.org/

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13380 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference22nd International Conference on Computational Science and Its Applications , ICCSA 2022
Abbreviated titleICCSA 2022
Country/TerritorySpain
CityMalaga
Period4/07/227/07/22
Internet address

    Research areas

  • Barcoding, Color barcodes, Data protection, Encryption, Medical data, Personal data

    Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

ID: 100620295