Ссылки

DOI

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.
Язык оригиналаанглийский
Название основной публикацииComputational Science and Its Applications- ICCSA 2022 Workshops, Proceedings
РедакторыOsvaldo Gervasi, Beniamino Murgante, Sanjay Misra, Ana Maria A. C. Rocha, Chiara Garau
Место публикацииCham
ИздательSpringer Nature
Страницы680-692
Число страниц13
Том13380
ИзданиеSpringer
ISBN (печатное издание)9783031105418
DOI
СостояниеОпубликовано - 23 июл 2022
Событие22nd International Conference on Computational Science and Its Applications - Malaga, Испания
Продолжительность: 4 июл 20227 июл 2022
Номер конференции: 22
https://iccsa.org/

Серия публикаций

НазваниеLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Том13380 LNCS
ISSN (печатное издание)0302-9743
ISSN (электронное издание)1611-3349

конференция

конференция22nd International Conference on Computational Science and Its Applications
Сокращенное названиеICCSA 2022
Страна/TерриторияИспания
ГородMalaga
Период4/07/227/07/22
Сайт в сети Internet

    Предметные области Scopus

  • Теоретические компьютерные науки
  • Компьютерные науки (все)

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