Work

Assuring Data Privacy With Privas – a Tool for Data Publishers

Year: 2019

Type: article

Abstract: The technology of nowadays allows to easily extract, store, process and use information about individuals and organizations. The increase of the amount of data collected and its value to our society was, at first, a great advance that could be used to optimize processes, find solutions and support decisions but also brought new problems related with lack of privacy and malicious attacks to confidential information. In this paper, a tool to anonymize databases is presented. It can be used by data publishers to protect information from attacks controlling the desired privacy level and the data usefulness. In order to specify these requirements a DSL (PrivasL) is used and the automatization of repository transformation, that is based on language processing techniques, is the novelty of this work.

Source: IADIS INTERNATIONAL JOURNAL ON COMPUTER SCIENCE AND INFORMATION SYSTEMS

DOI: 10.33965/ijcsis_2019140203

Authors: Miguel, Joana, Pereira, Maria João, Henriques, Pedro, Berón, Mario

Language: English

Topic: Privacy-Preserving Technologies in Data

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funder: Fundação para a Ciência e a Tecnologia

Awards: Centro de Investigação ALGORITMI, G7574042020

OpenAlex ID: W4313023398

FWCI:

Cites:

Cited by: 1

Related to: 10