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Titlebook: Data and Applications Security and Privacy XXVII; 27th Annual IFIP WG Lingyu Wang,Basit Shafiq Conference proceedings 2013 IFIP Internatio

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樓主: Forbidding
51#
發(fā)表于 2025-3-30 08:36:27 | 只看該作者
Fair Private Set Intersection with a Semi-trusted Arbitertocol. The arbiter can resolve disputes without knowing any private information belongs to the two parties. This feature is appealing for a PSI protocol in which privacy may be of ultimate importance.
52#
發(fā)表于 2025-3-30 15:34:18 | 只看該作者
Practical Immutable Signature Bouquets (PISB) for Authentication and Integrity in Outsourced Databas . ?schemes are very simple, non-interactive, and computation/communication efficient. Our generic scheme can be constructed from any aggregate signature coupled with a standard signature. Hence, it can flexibly provide performance trade-offs for various types of applications. Our specific scheme is
53#
發(fā)表于 2025-3-30 20:05:53 | 只看該作者
Access Control and Query Verification for Untrusted Databases the data. Our solution ensures that a particular data item is read and modified by only those entities who have been authorized by the data owner to access that data item. It provides privacy against malicious entities that somehow get access to the data stored at the server. Our solutions allow ea
54#
發(fā)表于 2025-3-31 00:00:41 | 只看該作者
Liang Feng Zhang,Reihaneh Safavi-Naini of ARBAC rules and users considered during analysis. We also present a number of parallel algorithms that speed up the analysis on multi-core systems. The experimental results show that our techniques significantly reduce the analysis time, making it practical to analyze ARBAC without separate admi
55#
發(fā)表于 2025-3-31 03:53:46 | 只看該作者
56#
發(fā)表于 2025-3-31 06:06:01 | 只看該作者
57#
發(fā)表于 2025-3-31 10:10:40 | 只看該作者
58#
發(fā)表于 2025-3-31 14:14:13 | 只看該作者
Computer Security – ESORICS 2016 the data. Our solution ensures that a particular data item is read and modified by only those entities who have been authorized by the data owner to access that data item. It provides privacy against malicious entities that somehow get access to the data stored at the server. Our solutions allow ea
59#
發(fā)表于 2025-3-31 21:31:56 | 只看該作者
Using Safety Constraint for Transactional Dataset Anonymizationiple to ensure that correlated values are grouped together in unique partitions that enforce .-diversity at the level of individuals. We conduct a set of experiments to evaluate privacy breach and the anonymization cost of safe grouping.
60#
發(fā)表于 2025-4-1 00:31:22 | 只看該作者
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