The analysis of methods of data depersonalisation in information systems

  • № 5-6 2020

Страницы: 

209

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213

Язык: английский

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Аннотация

This article deals with methods of ensuring the protection of personal data through the use of the process of anonymisation, as well as with the definition of the process of data anonymisation as a strategy for preserving basic information from the full set of personal data and mitigating possible risks that need to be taken into account in the use of data anonymisation methods.

Список использованных источников

  1. The Law of the Republic of Uzbekistan dated 2 July 2019 No.545 “About Personal Data” [Electonic Recource]: https://lex.uz/docs/4396428.
  2. Jeff Sedayao, Rahul Bhardwaj, Nakul Gorade, Making Big Data, Privacy and Anonymisation work together in the Enterprise. Computer Science // IEEE International Congress on Big Data, 27 June 2014.
  3. Trifonova U.V., Zharinov R.F., Opportunities of depersonalization personal data in systems using relational databases, TUSUR reports No. 2 (32), June 2014
  4. Information Commissioner’s office, “Anonymization: managing data protection risks, code of practice”, 2012.
  5. Mishchenko E.Y., Quantitative analysis of the procedure for depersonalising personal data. Method of identifiers introduction // SUSU Bulletin. Ser.: Computer technologies, management, radio electronics. – Chelyabinsk: SUSU Publishing Center, 2015. – T. 15, ¹3, p.18-25.
  6. D.Sanchez, S.Martinez, J.Domingo-Ferrer, Supplementary materials for “How to avoid reidentification with proper anonymisation”, 2015.
  7. Mishchenko E.Y., Quantitative analysis of the procedure for depersonalising personal data. Method of composition or semantic change / Vestnik Ural District. Security in information sphere. – Chelyabinsk: SUSU Publishing Center, 2016, ¹1(19), p.30-38.

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