Аналитический обзор конфиденциального искусственного интеллекта: методы и алгоритмы реализации в облачных вычислениях

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Аннотация

Технологии искусственного интеллекта и облачных систем в последнее время активно развиваются и внедряются. В связи с этим обострился вопрос их совместного использования, актуальный уже несколько лет. Проблема сохранения конфиденциальности данных в облачных вычислениях приобрела статус критической задолго до возникновения необходимости их совместного использования с искусственным интеллектом, который сделал ее еще более сложной. В данной статье представлен обзор как самих методов искусственного интеллекта и облачных вычислений, так и методов обеспечения конфиденциальности данных. В обзоре рассмотрены методы, использующие дифференциальную конфиденциальность; схемы разделения секрета; гомоморфное шифрование; гибридные методы. Проведенное исследование показало, что каждый рассмотренный метод имеет свои плюсы и минусы, обозначенные в работе, однако универсальное решение отсутствует. Было установлено, что теоретические модели гибридных методов, основанных на схемах разделения секрета и полностью гомоморфном шифровании, позволяют существенно повысить конфиденциальность обработки данных с использованием искусственного интеллекта.

Об авторах

Е. М. Ширяев

Северо-Кавказский федеральный университет

Автор, ответственный за переписку.
Email: eshiriaev@ncfu.ru
Россия, 355017 Ставрополь, ул. Пушкина, д. 1

А. С. Назаров

Северо-Кавказский федеральный университет

Email: anazarov@ncfu.ru
Россия, 355017 Ставрополь, ул. Пушкина, д. 1

Н. Н. Кучеров

Северо-Кавказский федеральный университет

Email: nkucherov@ncfu.ru
Россия, 355017 Ставрополь, ул. Пушкина, д. 1

М. Г. Бабенко

Северо-Кавказский федеральный университет; Институт системного программирования РАН им. В. П. Иванникова

Email: mgbabenko@ncfu.ru
Россия, 355017 Ставрополь, ул. Пушкина, д. 1; 109004 Москва, ул. А. Солженицына, д. 25

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