The problem of enabling privacy-preserving data releases has become more and more important in the last years thanks to the increasing needs of sharing and disseminating information. In this paper we address the problem of computing data releases in the form of fragments (vertical views) over a relational table, which satisfy both confidentiality and visibility constraints, expressing needs for information protection and release, respectively. We propose a modeling of constraints and of the data fragmentation problem based on Boolean formulas and Ordered Binary Decision Diagrams (OBDDs). Exploiting OBDDs, we efficiently manipulate Boolean formulas, thus easily computing data fragments that satisfy the constraints.
Enforcing confidentiality and data visibility constraints : an OBDD approach / V. Ciriani, S. De Capitani di Vimercati, S. Foresti, G. Livraga, P. Samarati - In: Data and applications security and privacy XXV : 25. annual IFIP WG 11.3 conference, DBSec 2011 : Richmond, VA, USA, july 11-13, 2011 : proceedings / [a cura di] Y. Li. - Heidelberg : Springer, 2011. - ISBN 9783642223471. - pp. 44-59 (( Intervento presentato al 25. convegno IFIP WG 11.3 Conference on Data and Applications Security and Privacy tenutosi a Richmond nel 2011.
Enforcing confidentiality and data visibility constraints : an OBDD approach
V. CirianiPrimo
;S. De Capitani di VimercatiSecondo
;S. Foresti;G. LivragaPenultimo
;P. SamaratiUltimo
2011
Abstract
The problem of enabling privacy-preserving data releases has become more and more important in the last years thanks to the increasing needs of sharing and disseminating information. In this paper we address the problem of computing data releases in the form of fragments (vertical views) over a relational table, which satisfy both confidentiality and visibility constraints, expressing needs for information protection and release, respectively. We propose a modeling of constraints and of the data fragmentation problem based on Boolean formulas and Ordered Binary Decision Diagrams (OBDDs). Exploiting OBDDs, we efficiently manipulate Boolean formulas, thus easily computing data fragments that satisfy the constraints.Pubblicazioni consigliate
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