Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
New Technologies for Storing and Transferring Personal Data. / Shchegoleva, Nadezhda; Zalutskaya, Natalia; Dambaeva, Alina; Kiyamov, Jasur; Dik, Aleksandr.
Computational Science and Its Applications- ICCSA 2022 Workshops, Proceedings. ed. / Osvaldo Gervasi; Beniamino Murgante; Sanjay Misra; Ana Maria A. C. Rocha; Chiara Garau. Vol. 13380 Springer. ed. Cham : Springer Nature, 2022. p. 680-692 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13380 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
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TY - GEN
T1 - New Technologies for Storing and Transferring Personal Data
AU - Shchegoleva, Nadezhda
AU - Zalutskaya, Natalia
AU - Dambaeva, Alina
AU - Kiyamov, Jasur
AU - Dik, Aleksandr
N1 - Conference code: 22
PY - 2022/7/23
Y1 - 2022/7/23
N2 - 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.
AB - 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.
KW - Barcoding
KW - Color barcodes
KW - Data protection
KW - Encryption
KW - Medical data
KW - Personal data
UR - http://www.scopus.com/inward/record.url?scp=85135922030&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/a2cea076-bea1-3cdc-8ad7-846f6efb7982/
U2 - 10.1007/978-3-031-10542-5_47
DO - 10.1007/978-3-031-10542-5_47
M3 - Conference contribution
SN - 9783031105418
VL - 13380
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 680
EP - 692
BT - Computational Science and Its Applications- ICCSA 2022 Workshops, Proceedings
A2 - Gervasi, Osvaldo
A2 - Murgante, Beniamino
A2 - Misra, Sanjay
A2 - Rocha, Ana Maria A. C.
A2 - Garau, Chiara
PB - Springer Nature
CY - Cham
T2 - 22nd International Conference on Computational Science and Its Applications , ICCSA 2022
Y2 - 4 July 2022 through 7 July 2022
ER -
ID: 100620295