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Secure data provenance and inference control with semantic web

Author: Bhavani M Thuraisingham
Publisher: Boca Raton : CRC Press/Taylor & Francis Group, [2015]
Edition/Format:   Print book : EnglishView all editions and formats
Database:WorldCat
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  Read more...
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Document Type: Book
All Authors / Contributors: Bhavani M Thuraisingham
ISBN: 9781466569430 1466569433
OCLC Number: 796752541
Description: xxx, 448 pages : illustrations ; 24 cm
Contents: Section 1. Supporting technologies --
section 2. Secure data provenance --
section 3. Inference control --
section 4. Unifying framework.
Responsibility: Bhavani Thuraisingham, Tyrone Cadenhead, Murat Kantarcioglu, Vaibhav Khadilkar.
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Abstract:

"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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