Secure data provenance and inference control with Semantic Web. (2014)

• Record Type: Book
• Further Information: Note: Bhavani Thuraisingham, Tyrone Cadenhead, Murat Kantarcioglu, Vaibhav Khadilkar.
• Authors: Thuraisingham, Bhavani M; Cadenhead, Tyrone; Kantarcioglu, Murat; Khadilkar, Vaibhav
• Contents: Introduction; Overview; Background; Motivation; Our Solutions and Contributions; Outline of the Book; Next Steps; References; ; Section I: Supporting Technologies; Introduction to Section I; ; Security and Provenance; Overview; Scalability and Security of Provenance; Access Control Languages and Provenance; Graph Operations and Provenance; Summary and Directions; References Access Control and Semantic Web; Overview; Access Control; Semantic Web; Semantic Web and Security; Summary and Directions; References; ; The Inference Problem; Overview; The Inference Problem; Functions of an Inference Controller; Inference Strategies; Security Constraints; Machine Learning and Inference; Our Approach; Historical Perspective; A Note on the Privacy Problem; Summary and Directions; References; ; Inference Engines; Overview; Concepts for Inference Engines; Software Systems; Summary and Directions; References; ; Inferencing Examples; Overview; Inference Function; Classification of a Knowledge Base; Inference Strategies and Examples; Approaches to the Inference Problem; Inferences in Provenance; Summary and Directions; References; ; Cloud Computing Tools and Frameworks; Overview; Cloud Computing Tools; Cloud Computing Framework; RDF Integration; Provenance Integration; Secure Query Processing in a Cloud Environment; The Web Application Layer; The ZQL Parser Layer; The XACML Policy Layer; The Hive Layer; HDFS; Summary and Directions; References; ; Section I Conclusion Section II Secure Data Provenance; Introduction to Section II; ; Scalable and Efficient RBAC for Provenance; Overview; Motivation and Contributions; Unified and Flexible Policies; Supporting Inferences in RBAC; Overview of Our Approach; Extending RBAC to Support Provenance; A Query-Retrieval Process; Example of a Policy Query; Example of a SWRL Rule; Example of a Trace; Output of the Trace; Comment; Experimental Evaluation; Summary and Directions; References; ; A Language for Provenance Access Control; Overview; Challenges and Drawbacks; Drawbacks of Current Access Control Mechanisms; Policy Language; Solution Based on Regular Expression Queries; Data Representation; Graph Data Model; Provenance Vocabulary; Path Queries; Graph Analysis; Analysis of Digraphs; Composition of Digraphs; Access Control Policy Architecture; Modules in Access Control Policy Architecture; Use Case: Medical Example; Query Templates; Additional Templates; Access Control Example; Prototype; Summary and Directions; References; ; Transforming Provenance Using Redaction; Overview; Graph Grammar; An Example Graph Transformation Step; Valid Provenance Graph; Discussion; Redaction Policy Architecture; Experiments; Summary and Directions; References; Section II Conclusion; ; Section III Inference Control; Introduction to Section III; ; Architecture for an Inference Controller; Overview; Design of an Inference Controller; Modular Design; Policy Processing; Parsing Process; High-Level Policy Translation; DL Rule Assembler; DL Policy Translation; Access Control Policy Assembler; Redaction Policy Assembler; Explanation Service Layer; Summary and Directions; References; ; Inference Controller Design; Overview; Design Philosophy; Inference Controller Process; Overview of a Query Process; Summary and Directions; References; ; Provenance Data Representation for Inference Control; Overview; Data Models for the Inference Controller; Separate Stores for Data and Provenance; Summary and Directions; References; ; Queries with Regular Path Expressions; Overview; Background; Regular Expressions; SPARQL Queries; Summary and Directions; References; ; Inference Control through Query Modification; Overview; Query Modification with Relational Data; SPARQL Query Modification; Query Modification for Enforcing Constraints; Overview of Query Modification; Graph Transformation of a SPARQL Query BGP; Match Pattern/Apply Pattern; Summary and Directions; References; ; Inference and Provenance; Overview; Invoking Inference Rules; Approaches to the Inference Problem; Inferences in Provenance; Implicit Information in Provenance; Use Cases of Provenance; Use Case: Who Said That?; Use Case: Cheating Dictator; Processing Rules; Summary and Directions; References; ; Implementing the Inference Controller; Overview; Implementation Architecture; Provenance in a Health Care Domain; Populating the Provenance Knowledge Base; Generating and Populating the Knowledge Base; Generating Workflows; Policy Management; Supporting Restrictions; Explanation Service Layer; Generators; Selecting Background Information; Background Generator Module; Annotating the Workflow; Generating Workflows; Incomplete Information in the Databases; Use Case: Medical Example; Semantic Associations in the Workflow; Implementing Constraints; Query Modification for Enforcing Constraints; Summary and Directions; References; Section III Conclusion; ; Section IV Unifying Framework; Introduction to Section IV; ; Risk and Inference Control; Overview; Risk Model; User’s System; Internal Knowledge Base System; Controller; Adding Provenance; Semantic Framework for Inferences; Ontologies; Rules;
• Edition: 1st
• Publisher Details: Boca Raton : Auerbach
• Publication Date: 2014
• Extent: 1 online resource, illustrations (black and white)
• Subjects: 025.0427028558; Semantic Web; Database security; Inference; Authentication
• Languages: English
• ISBNs: 9781466569447
• Related ISBNs: 9781466569430
• Notes: Note: Includes bibliographical references and index.; Note: Description based on CIP data; item not viewed.
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