In today’s electronic society, data sharing and dissemination are more and more increasing, leading to concerns about the proper protection of privacy. In this paper, we address a novel privacy problem that arises when non sensitive information is incrementally released and sensitive information can be inferred exploiting dependencies of sensitive information on the released data. We propose a model capturing this inference problem where sensitive information is characterized by peculiar distributions of non sensitive released data. We also discuss possible approaches for run time enforcement of safe releases.
Protecting privacy of sensitive value distributions in data release / M. Bezzi, S. De Capitani di Vimercati, G. Livraga, P. Samarati - In: Security and trust management : 6. International workshop, STM 2010 : Athens, Greece, september 23-24, 2010 : revised selected papers / [a cura di] J. Cuellar ... [et al.]. - Berlin : Springer, 2011. - ISBN 9783642224430. - pp. 255-270 (( Intervento presentato al 6. convegno International Worksop on Security and Trust Management (STM) tenutosi a Athens nel 2010.
Protecting privacy of sensitive value distributions in data release
S. De Capitani di VimercatiSecondo
;G. LivragaPenultimo
;P. SamaratiUltimo
2011
Abstract
In today’s electronic society, data sharing and dissemination are more and more increasing, leading to concerns about the proper protection of privacy. In this paper, we address a novel privacy problem that arises when non sensitive information is incrementally released and sensitive information can be inferred exploiting dependencies of sensitive information on the released data. We propose a model capturing this inference problem where sensitive information is characterized by peculiar distributions of non sensitive released data. We also discuss possible approaches for run time enforcement of safe releases.
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