Аннотация

Data quality and security issues are very closely related. To ensure a high level of reliability in distributed systems and resilience from external attacks, the process of consolidating distributed data is critical. For consolidated systems, the access process relies heavily on data preprocessing, which, in turn, allows them to be anonymized. The analysis of closely related processes of consolidation and anonymization allows us to offer a secure access platform for distributed data, which makes it possible to implement secure access systems that depend only on the type and format of the data. It turns out that in the program stack for working with data, optimization can be done only with the entire framework, but not with its components. In this paper we perform analysis of data security as a complex problem related to both data quality and system architectures used to protect personal data.

Язык оригиналаанглийский
Название основной публикацииComputational Science and Its Applications – ICCSA 2021
Подзаголовок основной публикации21st International Conference, Cagliari, Italy, September 13–16, 2021, Proceedings, Part VIII
РедакторыOsvaldo Gervasi, Beniamino Murgante, Sanjay Misra, Chiara Garau, Ivan Blečić, David Taniar, Bernady O. Apduhan, Ana Maria Rocha, Eufemia Tarantino, Carmelo Maria Torre
ИздательSpringer Nature
Страницы447-459
Число страниц13
ISBN (электронное издание)978-3-030-87010-2
ISBN (печатное издание)978-3-030-87009-6
DOI
СостояниеОпубликовано - 2021
Событие21st International Conference on Computational Science and Its Applications, ICCSA 2021 - Virtual, Online, Италия
Продолжительность: 13 сен 202116 сен 2021

Серия публикаций

НазваниеLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Том12956 LNCS
ISSN (печатное издание)0302-9743
ISSN (электронное издание)1611-3349

конференция

конференция21st International Conference on Computational Science and Its Applications, ICCSA 2021
Сокращенный заголовокICCSA 2021
Страна/TерриторияИталия
ГородVirtual, Online
Период13/09/2116/09/21

Предметные области Scopus

  • Теоретические компьютерные науки
  • Компьютерные науки (все)

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Подробные сведения о темах исследования «Protection of Personal Data Using Anonymization». Вместе они формируют уникальный семантический отпечаток (fingerprint).

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