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- Article name
- User and personal data: risk analysis of "knowledge extraction"
- Authors
- Bylevsky P. G., , pr-911@yandex.ru, Institute of Information Sciences of MGLU (MGPIII named after M. Torez); Financial University under the Government of the Russian Federation, Moscow, Russia
- Keywords
- big data / user data / risks / knowledge extraction / automatic analysis / security
- Year
- 2023 Issue 1 Pages 35 - 40
- Code EDN
- PDEMTW
- Code DOI
- 10.52190/2073-2600_2023_1_35
- Abstract
- The article analyzes the risks of automated analysis of large user data associated with the possibility of unauthorized receipt of confidential information. The priority of big data processing for generator operators, including non-residents of Russia. Depersonalization/deidentification of data as a security measure contradicts their meaningful value for intellectual analytics. It is proposed to solve the problem by regulation through general, industry and local models of critical identifiers of big data.
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