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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Bibliographic Details
Other Authors: Thuraisingham, Bhavani M., author (author), Cadenhead, Tyrone, author, Kantarcioglu, Murat, author, Khadilkar, Vaibhav, author
Format: eBook
Language:Inglés
Published: Boca Raton : CRC Press [2015]
Edition:1st ed
Subjects:
See on Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009633593506719
Description
Summary: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--
Item Description:Description based upon print version of record.
Physical Description:1 online resource (462 p.)
Bibliography:Includes bibliographical references at the end of each chapters.
ISBN:9781040057421
9780367378448
9780429101953
9781466569430