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Secure data provenance and inference control with semantic web / Bhavani Thuraisingham, Tyrone Cadenhead, Murat Kantarcioglu, Vaibhav Khadilkar.

By: Thuraisingham, Bhavani M [author.].
Contributor(s): Cadenhead, Tyrone [author.] | Kantarcioglu, Murat [author.] | Khadilkar, Vaibhav [author.].
Material type: materialTypeLabelBookPublisher: Boca Raton : CRC Press, [2015]Copyright date: ©2015Description: 1 online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9780429101953.Subject(s): Semantic web | Database security | Inference | AuthenticationAdditional physical formats: Print version: : No titleDDC classification: 025.0427028558 Online resources: Click here to view.
Contents:
section 1. Supporting technologies -- section 2. Secure data provenance -- section 3. Inference control -- section 4. Unifying framework.
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-- Provided by publisher.
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section 1. Supporting technologies -- section 2. Secure data provenance -- section 3. Inference control -- section 4. Unifying framework.

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-- Provided by publisher.

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