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Titlebook: Secure Data Management; 4th VLDB Workshop, S Willem Jonker,Milan Petkovi? Conference proceedings 2007 Springer-Verlag Berlin Heidelberg 200

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31#
發(fā)表于 2025-3-27 01:01:06 | 只看該作者
Answering Queries Based on Imprecision and Uncertainty Trade-Offs in Numeric Databasesswers are intervals. Introduced for the first time is a security requirement function . for a query, to specify the maximum probability .(.) that the precise query answer is within any interval of size .. Developed are random disclosure algorithms that satisfy security requirement functions, and gua
32#
發(fā)表于 2025-3-27 01:54:38 | 只看該作者
33#
發(fā)表于 2025-3-27 09:00:14 | 只看該作者
34#
發(fā)表于 2025-3-27 11:05:03 | 只看該作者
Generating Microdata with ,-Sensitive ,-Anonymity Propertyction is built around the .-anonymity property. Several shortcomings of the .-anonymity model have been fixed by new privacy models such as .-sensitive .-anonymity, .-diversity, ., .-anonymity, and .-closeness. In this paper we introduce the . algorithm for generating .-sensitive .-anonymous microda
35#
發(fā)表于 2025-3-27 15:48:06 | 只看該作者
Preventing Privacy-Invasive Software Using Collaborative Reputation Systemsure. Most privacy-invasive software is positioned in a legal grey zone, as the user accepts the malicious behaviour when agreeing to the End User License Agreement. This paper proposes the use of a specialized reputation system to gather and share information regarding software behaviour between com
36#
發(fā)表于 2025-3-27 20:15:10 | 只看該作者
Towards Improved Privacy Policy Coverage in Healthcare Using Policy Refinementalthcare sector increasingly important. However, several recent reports in the public media and the research community about healthcare privacy [1,2] indicate that the use of privacy policies is not necessarily a strong indication of adequate privacy protection for the patient. These observations hi
37#
發(fā)表于 2025-3-28 00:58:13 | 只看該作者
38#
發(fā)表于 2025-3-28 04:54:21 | 只看該作者
39#
發(fā)表于 2025-3-28 06:43:27 | 只看該作者
A Three-Dimensional Conceptual Framework for Database Privacy terms of three dimensions, depending on whose privacy is considered: i) respondent privacy (to avoid re-identification of patients or other individuals to whom the database records refer); ii) owner privacy (to ensure that the owner must not give away his dataset); and iii) user privacy (to preserv
40#
發(fā)表于 2025-3-28 14:10:12 | 只看該作者
Novel RFID Authentication Schemes for Security Enhancement and System Efficiencysingly concernd by individuals and organizations. Recently several hash-based mutual authentication schemes have been proposed to resolve security-related problems. However, previous schemes either suffer from security loopholes or have system efficiency problem for identity match process. In this p
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