Security-control methods for statistical databases: a comparative study
ACM Computing Surveys (CSUR)
IEEE Transactions on Software Engineering
Modeling Security-Relevant Data Semantics
IEEE Transactions on Software Engineering
An Information Theoretic Approach to Rule Induction from Databases
IEEE Transactions on Knowledge and Data Engineering
Protecting Respondents' Identities in Microdata Release
IEEE Transactions on Knowledge and Data Engineering
Enhancing the Controlled Disclosure of Sensitive Information
ESORICS '96 Proceedings of the 4th European Symposium on Research in Computer Security: Computer Security
Detection and Elimination of Inference Channels in Multilevel Relational Database Systems
SP '93 Proceedings of the 1993 IEEE Symposium on Security and Privacy
Mondrian Multidimensional K-Anonymity
ICDE '06 Proceedings of the 22nd International Conference on Data Engineering
\ell -Diversity: Privacy Beyond \kappa -Anonymity
ICDE '06 Proceedings of the 22nd International Conference on Data Engineering
Anatomy: simple and effective privacy preservation
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
Privacy-Preserving Data Mining: Models and Algorithms
Privacy-Preserving Data Mining: Models and Algorithms
Yet another privacy metric for publishing micro-data
Proceedings of the 7th ACM workshop on Privacy in the electronic society
Fragments and loose associations: respecting privacy in data publishing
Proceedings of the VLDB Endowment
Controlling logical inference in multilevel database systems
SP'88 Proceedings of the 1988 IEEE conference on Security and privacy
Protecting privacy in data release
Foundations of security analysis and design VI
Modeling and preventing inferences from sensitive value distributions in data release
Journal of Computer Security - STM'10
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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.