Issue |
E3S Web Conf.
Volume 224, 2020
Topical Problems of Agriculture, Civil and Environmental Engineering (TPACEE 2020)
|
|
---|---|---|
Article Number | 03023 | |
Number of page(s) | 8 | |
Section | Green IT Engineering | |
DOI | https://doi.org/10.1051/e3sconf/202022403023 | |
Published online | 23 December 2020 |
Algorithm of ensuring confidential data security of the cloud medical information system
South Federal University, Institute of Computer Technology and Information Security, 2 Chekhov st., Taganrog, 347922, Rostov region, Russia
* Corresponding author: shumilin@neurotech.ru
The objectives of the study are to develop and assess the effectiveness of the structure of a cloud platform for storing, processing and organizing medical data, determining a method of protection, in particular, ensuring confidentiality when transferring and storing examination results. The proposed method for protecting a medical information system involves the use of an original DICOM file and subsequently a converted PNG image, which is subjected to a pixel encryption algorithm. An algorithm based on chaos theory is used to encrypt the image. The capabilities of chaos systems can significantly increase productivity. Hierarchical division of data streams into levels and standardization of data transmission protocols, as well as their storage formats, allow to form a universal, flexible and reliable medical information system. The proposed architecture has the ability to integrate into existing medical systems. In the course of the work, it was found that the considered protection method is an effective way to ensure the confidentiality of medical system data.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.