PRIVAaaS: Privacy Approach for a Distributed Cloud-Based Data Analytics Platforms

@article{Basso2017PRIVAaaSPA,
  title={PRIVAaaS: Privacy Approach for a Distributed Cloud-Based Data Analytics Platforms},
  author={T{\^a}nia Basso and Regina Moraes and Nuno Antunes and Marco Vieira and Walter Santos and Wagner Meira},
  journal={2017 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID)},
  year={2017},
  pages={1108-1116}
}
Data privacy is a key challenge that is exacerbated by Big Data storage and analytics processing requirements. Big Data and Cloud Computing are related and allow the users to access data from any device, making data privacy essential as the data sets are exposed through the web. Organizations care about data privacy as it directly affects the confidence that clients have that their personal data are safe. This paper presents a data privacy approach – PRIVAaaS – and its inte-gration to the… CONTINUE READING

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