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...
Saved in:
Main Authors: | |
---|---|
Group Author: | ; ; |
Published: |
CRC Press/Taylor & Francis Group,
|
Publisher Address: | Boca Raton, FL : |
Publication Dates: | [2015] |
Literature type: | Book |
Language: | English |
Subjects: | |
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 |
Carrier Form: | xxx, 448 pages : illustrations ; 25 cm |
Bibliography: | Includes bibliographical references and index. |
ISBN: |
9781466569430 (hardback) : 1466569433 (hardback) |
Index Number: | TK5105 |
CLC: |
TP393.08 TP393.092 |
Call Number: | TP393.092/T536 |
Contents: | Section 1. Supporting technologies -- section 2. Secure data provenance -- section 3. Inference control -- section 4. Unifying framework. |