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<article article-type="research-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">ntv</journal-id><journal-title-group><journal-title xml:lang="ru">Научно-технический вестник информационных технологий, механики и оптики</journal-title><trans-title-group xml:lang="en"><trans-title>Scientific and Technical Journal of Information Technologies, Mechanics and Optics</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2226-1494</issn><issn pub-type="epub">2500-0373</issn><publisher><publisher-name>Университет ИТМО</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.17586/2226-1494-2024-24-3-456-463</article-id><article-id custom-type="elpub" pub-id-type="custom">ntv-308</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>КОМПЬЮТЕРНЫЕ СИСТЕМЫ И ИНФОРМАЦИОННЫЕ ТЕХНОЛОГИИ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>COMPUTER SCIENCE</subject></subj-group></article-categories><title-group><article-title>Повышение безопасности медицинских данных в облачных средах с помощью двойной аутентификации и оптимального шифрования с настройкой ключей</article-title><trans-title-group xml:lang="en"><trans-title>Enhancing healthcare data security in cloud environments with dual authentication and optimal key-tuned encryption Hema Ambiha Aravindakshan1, Pragaladan Rengasamy2</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0009-0000-7495-5107</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Аравиндакшан</surname><given-names>Х. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Aravindakshan</surname><given-names>H. А.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Аравиндакшан Хема Амбиха — PhD, исследователь</p><p>Ироду, 638316</p></bio><bio xml:lang="en"><p>Hema Ambiha Aravindakshan — PhD, Researcher</p><p>Erode, 636316</p></bio><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0009-0007-9407-3591</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Ренгасами</surname><given-names>П.</given-names></name><name name-style="western" xml:lang="en"><surname>Rengasamy</surname><given-names>P.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Ренгасами Прагаладан — PhD, доцент, руководитель</p><p>Ироду, 638316</p></bio><bio xml:lang="en"><p>Pragaladan Rengasamy — PhD, Associate Professor, Head</p><p>Erode, 636316</p></bio><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Колледж Шри Васави</institution><country>Индия</country></aff><aff xml:lang="en"><institution>Sri Vasavi College</institution><country>India</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2024</year></pub-date><pub-date pub-type="epub"><day>17</day><month>12</month><year>2024</year></pub-date><volume>24</volume><issue>3</issue><fpage>456</fpage><lpage>463</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Аравиндакшан Х.А., Ренгасами П., 2024</copyright-statement><copyright-year>2024</copyright-year><copyright-holder xml:lang="ru">Аравиндакшан Х.А., Ренгасами П.</copyright-holder><copyright-holder xml:lang="en">Aravindakshan H.А., Rengasamy P.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://ntv.elpub.ru/jour/article/view/308">https://ntv.elpub.ru/jour/article/view/308</self-uri><abstract><p>Представлены результаты реализации метода двойной аутентификации Ривеста Шамира Адельмана с оптимальной ключевой настройкой для эффективного обмена данными в облаке в рамках управления медицинскими данными. Работа системы начинается с регистрации пользователя в доверенном центре и заполнения его данных. Схема аутентификации, использующая шифр Цезаря и алгоритм защищенного хеширования 512, обеспечивает целостность системы. В процессе шифрования применяется метод Ривеста Шамира Адельмана (RSA) с оптимальной настройкой ключей для безопасной передачи файлов. Для улучшения процедур создания ключей задействован метод улучшенного алгоритма оптимизации «бабочка», позволяющий максимизировать пропускную способность. В результате пользователь выполняет двойную аутентификацию для доступа к файлам и их загрузки с облачного сервера. Этот дополнительный уровень аутентификации повышает устойчивость системы к несанкционированному доступу, гарантируя, что только законные пользователи могут взаимодействовать с медицинскими данными, хранящимися в облаке. Полученные результаты показали, что предложенная система превосходит другие современные системы, обеспечивая безопасный обмен и загрузку данных в облачные среды о состоянии здоровья пациентов.</p></abstract><trans-abstract xml:lang="en"><p>The primary idea of this paper is the implementation of the Optimal Key-Tuned Rivest Shamir Adelman technique, a dual authentication approach for effective data sharing in the cloud within hospital data management. The system begins with user registration with the Trusted Center where user details are provided. An authentication scheme utilizing the Caesar cipher and the Secure Hashing Algorithm 512 ensures integrity. The encryption process employs the Optimal Key-Tuned Rivest Shamir Adelman scheme for secure file transmission. To enhance key creation procedures in the Rivest Shamir Adelman model, the Improved Butterfly Optimization Algorithm technique is utilized to maximize throughput. Finally, dual authentication is conducted on the receiver side for file access and downloads from the cloud server. This additional layer of authentication fortifies the system resilience against unauthorized access, ensuring that only legitimate users can interact with the healthcare data stored in the cloud. The results indicate that the system outperforms other state-of-the-art systems enabling secure sharing and downloading of health data in cloud environments.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>безопасность здравоохранения</kwd><kwd>двойная аутентификация</kwd><kwd>безопасная передача данных</kwd><kwd>шифрование</kwd><kwd>дешифрование</kwd><kwd>доверенный центр</kwd></kwd-group><kwd-group xml:lang="en"><kwd>healthcare security</kwd><kwd>dual authentication</kwd><kwd>secure data transmission</kwd><kwd>encryption</kwd><kwd>decryption</kwd><kwd>trusted center</kwd></kwd-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Pai M.M.M., Ganiga R., Pai R.M., Sinha R.K. Standard electronic health record (EHR) framework for Indian healthcare system. 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