Big Data Privacy and Anonymization-Reference-Cited by-同舟云学术

Big Data Privacy and Anonymization

Published:2016 Issue: Volume: Page:15-26
ISSN:1868-4238
Container-title:Privacy and Identity Management. Facing up to Next Steps
language:
Short-container-title:

Author:

Torra Vicenç,Navarro-Arribas Guillermo

Abstract

AbstractData privacy has been studied in the area of statistics (statistical disclosure control) and computer science (privacy preserving data mining and privacy enhancing technologies) for at least 40 years. In this period models, measures, methods, and technologies have been developed to effectively protect the disclosure of sensitive information.The coming of big data, with large volumes of data, dynamic and streaming data, poses new challenges to the field. In this paper we will review some of these challenges and propose some lines of research in the field.

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-55783-0_2

Reference21 articles.

1. D’Acquisto, G., Domingo-Ferrer, J., Kikiras, P., Torra, V., de Montjoye, Y.-A., Bourka, A.: Privacy by design in big data: an overview of privacy enhancing technologies in the era of big data analytics. In: ENISA: European Union Agency for Network and Information Security (2015)

2. Bertino, E., Ghinita, G., Kantarcioglu, M., Nguyen, D., Park, J., Sandhu, R., Sultana, S., Thuraisingham, B., Xu, S.: A roadmap for privacy-enhanced secure data provenance. J. Intell. Inf. Syst. 43, 481–501 (2014)

3. Braun, U., Shinnar, A., Seltzer, M.: Securing provenance. In: Proceedings of HOTSEC (2008)

4. Chaum, D.L.: Untraceable electronic mail, return addresses, and digital pseudonyms. Commun. ACM 24(2), 84–88 (1981)

5. Dalneius, T.: The invasion of privacy problem and statistics production - an overview. Statistisk Tidskrift 12, 213–225 (1974)

Cited by 15 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Unlocking sustainable resource management: A comprehensive SWOT and thematic analysis of FinTech with a focus on mineral management;Resources Policy;2024-05

2. Differential privacy model for blockchain based smart home architecture;Future Generation Computer Systems;2024-01

3. Data privacy and anonymisation of simulated health-care dataset using the ARX open source tool;International Journal of Space-Based and Situated Computing;2023

4. Development of Big data anonymization framework using DNA Computing;2022 International Conference on Artificial Intelligence and Data Engineering (AIDE);2022-12-22

5. Privacy Protection Practice for Data Mining with Multiple Data Sources: An Example with Data Clustering;Mathematics;2022-12-14