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Advisor(s)
Abstract(s)
Currently, given the technological evolution, data and information are increasingly valuable in the most diverse areas for the most various purposes. Although the information and knowledge discovered by the exploration and use of data can be very valuable in many applications, people have been increasingly concerned about the other side, that is, the privacy threats that these processes bring. The system Privas, described in this paper, will aid the Data Publisher to pre-process the database before publishing. For that, a DSL is used to define the database schema description, identify the sensitive data
and the desired privacy level. After that a Privas processor will process the DSL program and interpret it to automatically transform the repository schema. The automatization of the anonymization process is the main contribution and novelty of this work.
Description
Keywords
Privacy Repositories PPDP Anonymization DSL
Pedagogical Context
Citation
Miguel, Joana; Pereira, Maria João; Henriques, Pedro; Berón, Mario (2019). PRIVAS - automatic anonymization of databases. In 16th International Conference on APPLIED COMPUTING 2019. Cagliari, Italy
Publisher
IADIS
