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Provable Data Privacy

2005
In relational database systems a combination of privileges and views is employed to limit a user's access and to hide non-public data. The data privacy problem is to decide whether the views leak information about the underlying database instance. Or, to put it more formally, the question is whether there are certain answers of a database query with ...
Kilian Stoffel, Thomas Studer
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Linked data privacy

Mathematical Structures in Computer Science, 2015
Web of Linked Data introduces common format and principles for publishing and linking data on the Web. Such a network of linked data is publicly available and easily consumable. This paper introduces a calculus for modelling networks of linked data with encoded privacy preferences.In that calculus, a network is a parallel composition of users, where ...
Svetlana Jaksic   +2 more
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Privacy in data systems

Proceedings of the twenty-second ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems, 2003
The explosive progress in networking, storage, and processor technologies is resulting in an unprecedented amount of digitization of information. In concert with this dramatic increase in digital data, concerns about the privacy of personal information have emerged globally.
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A Data Privacy Taxonomy

2009
Privacy has become increasingly important to the database community which is reflected by a noteworthy increase in research papers appearing in the literature. While researchers often assume that their definition of "privacy" is universally held by all readers, this is rarely the case; so many papers addressing key challenges in this domain have ...
Ken Barker 0001   +7 more
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Data Privacy with $$R$$

2014
Privacy Preserving Data Mining (PPDM) is an application field, which is becoming very relevant. Its goal is the study of new mechanisms which allow the dissemination of confidential data for data mining tasks while preserving individual private information.
Abril, Daniel   +2 more
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Privacy in data publishing

2010 IEEE 26th International Conference on Data Engineering (ICDE 2010), 2010
This tutorial gives an overview of techniques for releasing data about individuals while preserving privacy.
Johannes Gehrke   +2 more
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Big Data Privacy: Changing Perception of Privacy

2015 IEEE International Conference on Smart City/SocialCom/SustainCom (SmartCity), 2015
In this Big Data era, digital data has been increased exponentially with great variety. While lots of data carrying personal information has been purposely entered online, a large amount of data has been logged from people's online footprints. Big Data analytics has enabled researchers or other stakeholders to dig out data and then turn it into useful ...
Qing Tan, Frédérique C. Pivot
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Data Identifiability and Privacy

The American Journal of Bioethics, 2010
Dr. Mark Rothstein's (2010) article, “Is Deidentification Sufficient to Protect Health Privacy in Research?” is well timed, published just as the federal Department of Health and Human Services (HH...
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Protecting Privacy in Data Release [PDF]

open access: possible, 2011
The evolution of the Information and Communication Technology has radically changed our electronic lives, making information the key driver for today’s society. Every action we perform requires the collection, elaboration, and dissemination of personal information.
S. De Capitani di Vimercati   +3 more
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Big Data - Security and Privacy

2015 IEEE International Congress on Big Data, 2015
Technological advances and novel applications, such as sensors, cyber-physical systems, smart mobile devices, cloud systems, data analytics, and social networks, are making possible to capture, and to quickly process and analyze huge amounts of data from which to extract information critical for security-related tasks.
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