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Title:
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PRIVAS - AUTOMATIC ANONYMIZATION OF DATABASES |
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Author(s):
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Joana Margarida Miguel, Maria João Varanda Pereira, Pedro Rangel Henriques and Mario Berón
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ISBN:
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978-989-8533-95-1 |
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Editors:
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Hans Weghorn |
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Year:
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2019 |
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Edition:
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Single |
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Keywords:
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Privacy, Repositories, PPDP, Anonymization, DSL |
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Type:
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Full Paper |
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First Page:
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29 |
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Last Page:
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38 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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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. |
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