Secure data provenance and inference control with semantic web

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 ensur...

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Detalles Bibliográficos
Otros Autores: Thuraisingham, Bhavani M., author (author), Cadenhead, Tyrone, author, Kantarcioglu, Murat, author, Khadilkar, Vaibhav, author
Formato: Libro electrónico
Idioma:Inglés
Publicado: Boca Raton : CRC Press [2015]
Edición:1st ed
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009633593506719
Descripción
Sumario: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--
Notas:Description based upon print version of record.
Descripción Física:1 online resource (462 p.)
Bibliografía:Includes bibliographical references at the end of each chapters.
ISBN:9781040057421
9780367378448
9780429101953
9781466569430