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"With the explosion of information on the web, it is critical to understand the provenance of the data, which includes its pedigree, quality, and accuracy. At the same time, the provenance data must be secured. This book describes a detailed step-by-step approach to securing provenance data and ensuring that the data cannot be subject to inference attacks. It presents solutions with case studies in the healthcare domain, describes the design and implementation of a policy engine for provenance, and demonstrates the use of semantic web technologies as well as cloud computing technologies for enhancing the scalability of solutions"--
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Subjects
Semantic web, Database security, Inference, Authentication, COMPUTERS / Software Development & Engineering / General, COMPUTERS / Security / General, COMPUTERS / Internet / General, World wide web, Semantic Web, Web sémantique, Bases de données, Sécurité, Mesures, Inférence (Logique), LANGUAGE ARTS & DISCIPLINES, Library & Information Science, GeneralShowing 1 featured edition. View all 1 editions?
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Secure data provenance and inference control with semantic web
2015, CRC Press/Taylor & Francis Group
in English
1466569433 9781466569430
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Edition Notes
Includes bibliographical references and index.
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- Created November 12, 2020
- 3 revisions
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December 16, 2022 | Edited by MARC Bot | import existing book |
September 17, 2021 | Edited by ImportBot | import existing book |
November 12, 2020 | Created by MARC Bot | Imported from Library of Congress MARC record |