Jonker / Petkovic Secure Data Management

VLDB 2004 Workshop, SDM 2004, Toronto, Canada, August 30, 2004, Proceedings
Erscheinungsjahr 2004
ISBN: 978-3-540-30073-1
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 3178, 224 Seiten, eBook

Reihe: Lecture Notes in Computer Science

Concepts like ubiquitous computing and ambient intelligence that exploit - creasingly interconnected networks and mobility put new requirements on data management. An important element in the connected world is that data will be accessible anytime anywhere. This also has its downside in that it becomes easier to get unauthorized data access. Furthermore, it will become easier to collect, store, and search personal information and endanger people’s privacy. As a result security and privacy of data becomes more and more of an issue. Therefore, secure data management, which is also privacy-enhanced, turns out to be a challenging goal that will also seriously in?uence the acceptance of ub- uitous computing and ambient intelligence concepts by society. With the above in mind, we organized the SDM 2004 workshop to initiate and promote secure data management as one of the important interdisciplinary - search ?elds that brings together people from the security research community and the data management research community. The call for papers attracted 28 submissions both from universities and industry. The program committee selected 15 researchpapers for presentation at the workshop.The technical c- tributions presented at the SDM workshop are collected in this volume, which, wehope,willserveasavaluableresearchandreferencebookinyourprofessional life.

Zielgruppe

Research

Autoren/Hrsg.

Jonker, Willem

Petkovic, Milan

Inhaltsverzeichnis

Encrypted Data Access.- Secure and Privacy Preserving Outsourcing of Tree Structured Data.- Using Secret Sharing for Searching in Encrypted Data.- A Structure Preserving Database Encryption Scheme.- Modeling Integrity in Data Exchange.- Privacy Preserving Data Management.- Experimental Analysis of Privacy-Preserving Statistics Computation.- Achieving Privacy Preservation when Sharing Data for Clustering.- Privacy-Preserving Digital Rights Management.- Management of Private Data: Addressing User Privacy and Economic, Social, and Ethical Concerns.- Access Control.- PeerTrust: Automated Trust Negotiation for Peers on the Semantic Web.- A Flexible Framework for Architecting XML Access Control Enforcement Mechanisms.- Abstracting and Refining Authorization in SQL.- A Classifier-Based Approach to User-Role Assignment for Web Applications.- LTAM: A Location-Temporal Authorization Model.- Database Security.- Identifying Sensitive Associations in Databases for Release Control.- Using Delay to Defend Against Database Extraction.