Author, as appears in the article.: Salas J, Domingo-Ferrer J

Department: Enginyeria Informàtica i Matemàtiques

URV's Author/s: Domingo Ferrer, Josep

Keywords: Privacy enhancing technologies Privacy by design statistical disclosure Differential privacy Control k-anonymity Big data privacy

Abstract: © 2018, Springer International Publishing AG, part of Springer Nature. With the progress in the information and communication fields, new opportunities and technologies for statistical analysis, knowledge discovery, data mining, and many other research areas have emerged, together with new challenges for privacy and data protection. Nowadays several personal records are kept in computerized databases. Personal data is collected and kept in census databases, medical databases, employee databases, among others. There has always been an asymmetry between the benefits of computerized databases and the rights of individual data subjects. Some data protection principles can be derived from the legal framework. In this survey, we present some basic cryptographic and non-cryptographic techniques that may be used for enhancing privacy, we focus mainly on anonymization in databases and networks, discuss some differences and interactions among the well-known models of k-anonymity and differential privacy and finally present some challenges to privacy that come from big data analytics.

Thematic Areas: Mathematics, applied Computational theory and mathematics Computational mathematics Applied mathematics

ISSN: 16618289

Author's mail: josep.domingo@urv.cat

Author identifier: 0000-0001-7213-4962

Last page: 274

Record's date: 2023-02-18

Journal volume: 12

Papper version: info:eu-repo/semantics/submittedVersion

Link to the original source: https://link.springer.com/article/10.1007/s11786-018-0344-6

Licence document URL: http://repositori.urv.cat/ca/proteccio-de-dades/

Papper original source: Mathematics In Computer Science. 12 (3): 263-274

APA: Salas J, Domingo-Ferrer J (2018). Some basics on privacy techniques, anonymization and their big data challenges. Mathematics In Computer Science, 12(3), 263-274. DOI: 10.1007/s11786-018-0344-6

Article's DOI: 10.1007/s11786-018-0344-6

Entity: Universitat Rovira i Virgili

Journal publication year: 2018

First page: 263

Publication Type: Journal Publications