Titlebook: Research Directions in Data and Applications Security; IFIP TC11 / WG11.3 S Ehud Gudes,Sujeet Shenoi Book 2003 IFIP International Federatio

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Deductive Database Securitye combines meta-programming and partial evaluation techniques, has a number of attractive technical results associated with it, and can be used as a basis for efficient implementations of protected forms of deductive database.

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On Security and Privacy Risks in Association Mining Algorithmsn this paper, we present a risk assessment procedure designed to control the security and privacy threats presented by association mining algorithms. The assessment procedure is based upon a new data analysis process that we introduce called Knowledge Hiding in Databases (KHD). The specific contribu

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Mining Malicious Corruption of Data with Hidden Markov Modelsf profiling databases via time series analysis to detect anomalous changes to a database. We view the history of modifications in the database as a set of time series sequences. We then examine the application of Hidden Markov models (HMMs)as a mining tool to capture the normal trend of a database’s

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1868-4238 ed on maintaining security and privacy in database systems and applications that pervade cyberspace. The areas of coverage include: .-Role-Based Access Control; .-Database Security; .-XML Security; .-Data Mining and Inference; .-Multimedia System Security; .-Network Security; .-Public Key Infrastruc

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