Geração de rótulo de privacidade por palavras-chaves e casamento de padrões
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2016-07-13Autor
Pontes, Diego Roberto Gonçalves de
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Users do not usually read privacy policies from online services. Among the main reasons
for that is the fact that such policies are long and commonly hard to understand, which
makes the user lose interest in reading them carefully. In this scenario, users are prone to
agree to the policies terms without knowing what kind of data is being collected and why.
This dissertation discusses how the policies' content may be presented in a more friendly
way, showing information about data collection and usage in a table herein called Privacy
Label. The Privacy Label is a table with lines named according to data collection terms
and columns named according to expressions that reveal how the data is used by the
service. The table content shows if the policy collects a particular data to a particular
usage. To generate the Privacy Label, a study was made in a set of privacy policies to
identify which terms repeat more often along the texts. To do so, we used techniques to
find keywords, and from these keywords we were able to create privacy categories. The
categories define which kind of data is being collected and why, which are represented by
cells in the Privacy Label. Using word comparison techniques, a privacy policy can be
analyzed and important information can be extracted by comparing its terms with the
terms from the privacy categories. For each category we find, we show it in the Privacy
Label. To assess the proposed approach we developed an application prototype, herein
called PPMark, that analyzes a particular privacy policy, extract its keywords and
generates the Privacy Label automatically. The information extracted was analyzed
regarding its quality using three metrics: precision, recall and f-measure. The results
show that the approach is a viable functional alternative to generate the Privacy Label
and present privacy policies in a friendly manner. There are evidences of time saving by
using our approach, which facilitates the process of decision making.