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Titlebook: Data Privacy Management, and Security Assurance; 10th International W Joaquin Garcia-Alfaro,Guillermo Navarro-Arribas,Ne Conference proceed

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楼主: Clique
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On the Privacy of Horizontally Partitioned Binary Data-Based Privacy-Preserving Collaborative Filtert element for the true user participation. Privacy-preserving collaborative filtering techniques aim to offer privacy measures without neglecting the recommendation accuracy. In general, these systems rely on the data residing on a central server. Studies show that privacy is not protected as much a
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The Role of Direct Care Providers in PACE” we show that they reduce our general leakage notion to various definitions in the literature. We also prove general composability theorems analogous to the data-processing inequality for mutual information, or cascading channels for channel capacities.
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Alan T. Murray,Tony H. Grubesicch captures the high-level topology of a system and helps to specify which and where security countermeasures are more appropriate. We design a quantitative analysis on AAFs (modelling our domain knowledge) with the purpose to compare different decisions and select the most suitable one to protect the critical assets.
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Conference proceedings 2016for techniques to deal with quantitative aspects of security assurance at several levels of the development life-cycle of systems and services, from requirements elicitation to run-time operation and maintenance. QASA 2015 received 11 submissions, of which 4 papers are presented in this volume as well..
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S. Vodanovich,M. Rohde,D. Sundaram-based encryption. More precisely, we exploit the homomorphic properties of NTRU to provide a robust and secure solution and provide experimental results which illustrate the efficacy of our proposal.
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Privacy-Preserving Biometric Authentication and Matching via Lattice-Based Encryption-based encryption. More precisely, we exploit the homomorphic properties of NTRU to provide a robust and secure solution and provide experimental results which illustrate the efficacy of our proposal.
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PerfectDedup: Secure Data Deduplicationrages the properties of Perfect Hashing in order to assure block-level deduplication and data confidentiality at the same time. We show that the client-side overhead is minimal and the main computational load is outsourced to the cloud storage provider.
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