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Reasoning under uncertainty and multi-criteria decision making in data privacy

Author

Listed:
  • Bice Cavallo
  • Gerardo Canfora
  • Livia D’Apuzzo
  • Massimo Squillante

Abstract

By means of an integration of decision theory and probabilistic models, we explore and develop methods for improving data privacy. Our work encompasses disclosure control tools in statistical databases and privacy requirements prioritization; in particular we propose a Bayesian approach for the on-line auditing in Statistical Databases and Pairwise Comparison Matrices for privacy requirements prioritization. The first approach is illustrated by means of examples in the context of statistical analysis on the census and medical data, where no salary (resp. no medical information), that could be related to a specific employee (resp. patient), must be released; the second approach is illustrated by means of examples, such as an e-voting system and an e-banking service that have to satisfy privacy requirements in addition to functional and security ones. Several fields in the social sciences, economics and engineering will benefit from the advances in this research area: e-voting, e-government, e-commerce, e-banking, e-health, cloud computing and risk management are a few examples of applications for the findings of this research. Copyright Springer Science+Business Media Dordrecht 2014

Suggested Citation

  • Bice Cavallo & Gerardo Canfora & Livia D’Apuzzo & Massimo Squillante, 2014. "Reasoning under uncertainty and multi-criteria decision making in data privacy," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(4), pages 1957-1972, July.
    • Handle: RePEc:spr:qualqt:v:48:y:2014:i:4:p:1957-1972
    DOI: 10.1007/s11135-013-9859-8
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    References listed on IDEAS

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    1. Thomas L. Saaty, 1986. "Axiomatic Foundation of the Analytic Hierarchy Process," Management Science, INFORMS, vol. 32(7), pages 841-855, July.
    2. Yoram Wind & Thomas L. Saaty, 1980. "Marketing Applications of the Analytic Hierarchy Process," Management Science, INFORMS, vol. 26(7), pages 641-658, July.
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    Cited by:

    1. Bice Cavallo & Livia D’Apuzzo & Massimo Squillante, 2015. "A multi-criteria decision making method for sustainable development of Naples port city-area," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(4), pages 1647-1659, July.
    2. Richard Hnilica & Martin Jankovský & Miroslav Dado & Valéria Messingerová & Marián Schwarz & Darina Veverková, 2017. "Use of the analytic hierarchy process for complex assessment of the work environment," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(1), pages 93-101, January.
    3. Bice Cavallo & Gerardo Canfora, 2016. "A probabilistic approach for disclosure risk assessment in statistical databases," Quality & Quantity: International Journal of Methodology, Springer, vol. 50(2), pages 729-749, March.

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