Titlebook: Secure Data Management; 9th VLDB Workshop, S Willem Jonker,Milan Petković Conference proceedings 2012 Springer-Verlag Berlin Heidelberg 201

圆锥

Secure Metric-Based Index for Similarity Cloudosed solution tries to keep a reasonable privacy level while relocating only the necessary amount of work from server to an authorized client. The Encrypted M-Index has been tested on three real data sets with focus on various cost components.

控制

Towards Trustworthy Health Platform Cloudbe described as a possible solution towards trustworthy cloud architecture, based on a federated cloud-of-clouds, while enforcing security, resilience and data protection in various cloud layers for provisioning trustworthy IaaS, PaaS and SaaS healthcare services.

GLARE

粗糙滥制

prolate

Differential Privacy in Practicet adds noise proportional to a query index used to express our preferences for having different noise scales for different queries. We also introduce an equation capturing when . satisfies a user-given relative error threshold.

carbohydrate

Privacy Protocol for Linking Distributed Medical Datata in a privacy preserving manner. In contrast to other approaches, we actively involve patients in the exchange process. We apply the honest-but-curious adversary model to our protocol in order to evaluate our approach with respect to complexity and the degree of privacy protection.

官僚统治

Policies for Composed Emergencies in Support of Disaster Management. and related .. We also propose some overriding strategies to determine how temporary access control policies and obligations associated with a composed emergency have to be combined with those associated with atomic emergencies. Finally, we propose a tree-data structure in support of efficient emergency policy enforcement.

cortex

Tradeoff Analysis of Relational Database Storage of Privacy Preferencesse and dealt with by database operators. We introduce four storage designs incorporating sets of intended privacy purposes in a table in a relational database, and perform experiments to study their performance when executing select, insert, update and delete using the storage designs. A thorough di

COUCH

Differential Privacy in Practicenformation about individual records in the database. The most common way to achieve DP is to add noise following Laplace distribution. In this paper, we study differential privacy from a utility point of view for single and multiple queries. We examine the relationship between the cumulative probabi

Hallmark