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Titlebook: Data and Applications Security XXI; 21st Annual IFIP WG Steve Barker,Gail-Joon Ahn Conference proceedings 2007 IFIP International Federati

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https://doi.org/10.1007/1-4020-0613-6ta in an encrypted format entails non-negligible performance penalties while processing queries. In this paper, we address several design issues related to querying encrypted data in relational databases. Based on our experiments, we propose new and efficient techniques to reduce the cost of cryptog
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https://doi.org/10.1007/1-4020-0613-6 may not be especially well suited and for which implementations of RBAC do not enable properties of access control policies to be adequately defined and proven. To address these issues, we propose a form of access control model that is based upon the key notion of an event. The access control model
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Arijit Ukil,Jaydip Sen,Sumit Ghosh access control. The use of such information can be used for enhancing the security of an application, and it can also be exploited to launch attacks. For critical applications, a formal model for spatio-temporal-based access control is needed that increases the security of the application and ensur
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Wanting Hu,Qingfeng Wu,Zhiling Zhang,Lu Caorol model–Times-based Usage Control (TUCON). TUCON extends traditional and temporal access control models with times-based usage control by defining the maximum times that a privilege can be exercised. When the usage times of a privilege is consumed to zero or the time interval of the usage is expir
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Lei Xiangdong,Lei Zhenyang,Long Junl users who query the protected database. As a result, most auditing methods, though rigorously studied, can never be implemented in practice for protecting largescale real-world database systems. To shift this paradigm, we propose a new inference control architecture that will entrust inference con
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Data and Applications Security XXI978-3-540-73538-0Series ISSN 0302-9743 Series E-ISSN 1611-3349
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https://doi.org/10.1007/978-3-540-73538-0Information; Trusted Computing; auditing; configuration; cryptography; data security; database security; di
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