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Titlebook: Data Privacy Management and Security Assurance; 11th International W Giovanni Livraga,Vicenç Torra,Neeraj Suri Conference proceedings 2016

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Rationality of a Universal Monopolysible confinement method and its actual application, together with a corresponding state transition of the requesting user’s surrogate. These functionalities employ extendible descriptors of surrogate states, interaction requests, database instances and confinement methods, respectively, as a kind of security labels.
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David M. Olson,Maurice D. Simoncker, and each other adversary is passive, corrupting only a single party. We formalize the adversarial goal by proposing an alternative notion of universal composability. We show how existing, conventionally secure multiparty protocols can be transformed to make them secure against the novel adversarial goal.
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The Polish Party in Crisis, 1980–82yption and calculation times. We have also optimized its implementation by reusing previously produced results so as not to repeat calculations. Our experimental evaluation shows that the proposed scheme runs 430 times faster than P3CC, and uses 94.7 % less memory with 10,000 transactions data.
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Controlled Management of Confidentiality-Preserving Relational Interactionssible confinement method and its actual application, together with a corresponding state transition of the requesting user’s surrogate. These functionalities employ extendible descriptors of surrogate states, interaction requests, database instances and confinement methods, respectively, as a kind of security labels.
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https://doi.org/10.1007/978-1-349-08855-3metric data in reasonable time. Our two SSE schemes achieve a different trade-off between security and efficiency. The first scheme is more efficient, but is proved secure only against non-adaptive adversaries while the second is proved secure against adaptive adversaries.
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Privacy-Preserving Targeted Mobile Advertising: Formal Models and Analysisunderpin a prototype privacy-preserving TMA system. We give consideration to how formal models can help in underpinning the prototype system, in analysing privacy in the context of targeted mobile advertising, and in allowing users to specify control of their personal information.
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