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. Several fields in the social sciences, economics and engineering will benet 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 fundings of this research.
Reasoning under Uncertainty and Multi-CriteriaDecision Making in Data Privacy / Cavallo, Bice; Gerardo, Canfora; D'Apuzzo, Livia; Massimo, Squillante. - In: QUALITY & QUANTITY. - ISSN 0033-5177. - 48:4(2014), pp. 1957-1972. [10.1007/s11135-013-9859-8]
Reasoning under Uncertainty and Multi-CriteriaDecision Making in Data Privacy
CAVALLO, BICE
;D'APUZZO, LIVIA;
2014
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. Several fields in the social sciences, economics and engineering will benet 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 fundings of this research.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
