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Protection of Personal Data Using Anonymization. / Bogdanov, Alexander V.; Degtyarev, Alexander; Shchegoleva, Nadezhda; Korkhov, Vladimir; Khvatov, Valery; Zaynalov, Nodir; Kiyamov, Jasur; Dik, Aleksandr; Faradzhov, Anar.

Computational Science and Its Applications – ICCSA 2021: 21st International Conference, Cagliari, Italy, September 13–16, 2021, Proceedings, Part VIII. ed. / Osvaldo Gervasi; Beniamino Murgante; Sanjay Misra; Chiara Garau; Ivan Blečić; David Taniar; Bernady O. Apduhan; Ana Maria Rocha; Eufemia Tarantino; Carmelo Maria Torre. Springer Nature, 2021. p. 447-459 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12956 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Harvard

Bogdanov, AV, Degtyarev, A, Shchegoleva, N, Korkhov, V, Khvatov, V, Zaynalov, N, Kiyamov, J, Dik, A & Faradzhov, A 2021, Protection of Personal Data Using Anonymization. in O Gervasi, B Murgante, S Misra, C Garau, I Blečić, D Taniar, BO Apduhan, AM Rocha, E Tarantino & CM Torre (eds), Computational Science and Its Applications – ICCSA 2021: 21st International Conference, Cagliari, Italy, September 13–16, 2021, Proceedings, Part VIII. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12956 LNCS, Springer Nature, pp. 447-459, 21st International Conference on Computational Science and Its Applications, ICCSA 2021, Virtual, Online, Italy, 13/09/21. https://doi.org/10.1007/978-3-030-87010-2_33

APA

Bogdanov, A. V., Degtyarev, A., Shchegoleva, N., Korkhov, V., Khvatov, V., Zaynalov, N., Kiyamov, J., Dik, A., & Faradzhov, A. (2021). Protection of Personal Data Using Anonymization. In O. Gervasi, B. Murgante, S. Misra, C. Garau, I. Blečić, D. Taniar, B. O. Apduhan, A. M. Rocha, E. Tarantino, & C. M. Torre (Eds.), Computational Science and Its Applications – ICCSA 2021: 21st International Conference, Cagliari, Italy, September 13–16, 2021, Proceedings, Part VIII (pp. 447-459). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12956 LNCS). Springer Nature. https://doi.org/10.1007/978-3-030-87010-2_33

Vancouver

Bogdanov AV, Degtyarev A, Shchegoleva N, Korkhov V, Khvatov V, Zaynalov N et al. Protection of Personal Data Using Anonymization. In Gervasi O, Murgante B, Misra S, Garau C, Blečić I, Taniar D, Apduhan BO, Rocha AM, Tarantino E, Torre CM, editors, Computational Science and Its Applications – ICCSA 2021: 21st International Conference, Cagliari, Italy, September 13–16, 2021, Proceedings, Part VIII. Springer Nature. 2021. p. 447-459. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-030-87010-2_33

Author

Bogdanov, Alexander V. ; Degtyarev, Alexander ; Shchegoleva, Nadezhda ; Korkhov, Vladimir ; Khvatov, Valery ; Zaynalov, Nodir ; Kiyamov, Jasur ; Dik, Aleksandr ; Faradzhov, Anar. / Protection of Personal Data Using Anonymization. Computational Science and Its Applications – ICCSA 2021: 21st International Conference, Cagliari, Italy, September 13–16, 2021, Proceedings, Part VIII. editor / Osvaldo Gervasi ; Beniamino Murgante ; Sanjay Misra ; Chiara Garau ; Ivan Blečić ; David Taniar ; Bernady O. Apduhan ; Ana Maria Rocha ; Eufemia Tarantino ; Carmelo Maria Torre. Springer Nature, 2021. pp. 447-459 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

BibTeX

@inproceedings{7a8e291f96d44932bd8dde9b9e3a0447,
title = "Protection of Personal Data Using Anonymization",
abstract = "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.",
keywords = "Big Data, Data access, Data anonymization, Data consolidation, Data platforms",
author = "Bogdanov, {Alexander V.} and Alexander Degtyarev and Nadezhda Shchegoleva and Vladimir Korkhov and Valery Khvatov and Nodir Zaynalov and Jasur Kiyamov and Aleksandr Dik and Anar Faradzhov",
note = "Publisher Copyright: {\textcopyright} 2021, Springer Nature Switzerland AG.; 21st International Conference on Computational Science and Its Applications, ICCSA 2021, ICCSA 2021 ; Conference date: 13-09-2021 Through 16-09-2021",
year = "2021",
doi = "10.1007/978-3-030-87010-2_33",
language = "English",
isbn = "978-3-030-87009-6",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Nature",
pages = "447--459",
editor = "Osvaldo Gervasi and Beniamino Murgante and Sanjay Misra and Chiara Garau and Ivan Ble{\v c}i{\'c} and David Taniar and Apduhan, {Bernady O.} and Rocha, {Ana Maria} and Eufemia Tarantino and Torre, {Carmelo Maria}",
booktitle = "Computational Science and Its Applications – ICCSA 2021",
address = "Germany",

}

RIS

TY - GEN

T1 - Protection of Personal Data Using Anonymization

AU - Bogdanov, Alexander V.

AU - Degtyarev, Alexander

AU - Shchegoleva, Nadezhda

AU - Korkhov, Vladimir

AU - Khvatov, Valery

AU - Zaynalov, Nodir

AU - Kiyamov, Jasur

AU - Dik, Aleksandr

AU - Faradzhov, Anar

N1 - Publisher Copyright: © 2021, Springer Nature Switzerland AG.

PY - 2021

Y1 - 2021

N2 - 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.

AB - 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.

KW - Big Data

KW - Data access

KW - Data anonymization

KW - Data consolidation

KW - Data platforms

UR - http://www.scopus.com/inward/record.url?scp=85115723452&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/c52c9336-7f07-35ee-bb9d-aa5469d931e5/

U2 - 10.1007/978-3-030-87010-2_33

DO - 10.1007/978-3-030-87010-2_33

M3 - Conference contribution

AN - SCOPUS:85115723452

SN - 978-3-030-87009-6

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 447

EP - 459

BT - Computational Science and Its Applications – ICCSA 2021

A2 - Gervasi, Osvaldo

A2 - Murgante, Beniamino

A2 - Misra, Sanjay

A2 - Garau, Chiara

A2 - Blečić, Ivan

A2 - Taniar, David

A2 - Apduhan, Bernady O.

A2 - Rocha, Ana Maria

A2 - Tarantino, Eufemia

A2 - Torre, Carmelo Maria

PB - Springer Nature

T2 - 21st International Conference on Computational Science and Its Applications, ICCSA 2021

Y2 - 13 September 2021 through 16 September 2021

ER -

ID: 85454123