Bhavani Thuraisingham, Tyrone Cadenhead, Murat Kantarcioglu, Vaibhav Khadilkar

Secure Data Provenance and Inference Control with Semantic Web (eBook, ePUB)

• Format: ePub

Produktbeschreibung

This book supplies step-by-step instructions on how to secure the provenance of data to make sure it is safe from inference attacks. It details the design and implementation of a policy engine for provenance of data and presents case studies that illustrate solutions in a typical distributed health care system for hospitals. Although the case studies describe solutions in the health care domain, the methods presented in the book are applicable to a range of other domains. The book also illustrates the use of Semantic Web technologies and cloud computing technologies for enhancing the scalability of solutions.

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Produktdetails

• Verlag: Taylor & Francis
• Erscheinungstermin: 1. August 2014
• Englisch
• ISBN-13: 9781040057421
• Artikelnr.: 72275249

Autorenporträt

Thuraisingham, Bhavani; Cadenhead, Tyrone; Kantarcioglu, Murat; Khadilkar, Vaibhav

Inhaltsangabe

Introduction. Supporting Technologies. Security and Provenance. Access
Control and Semantic Web. The Inference Problem. Inference Engines.
Inferencing Examples. Cloud Computing Tools and Frameworks. Section II
Secure Data Provenance. Scalable and Efficient RBAC for Provenance. A
Language for Provenance Access Control. Transforming Provenance Using
Redaction. Section III Inference Control. Architecture for an Inference
Controller. Inference Controller Design. Provenance Data Representation for
Inference Control. Queries with Regular Path Expressions. Inference Control
through Query Modification. Inference and Provenance. Implementing the
Inference Controller. Section IV Unifying Framework. Risk and Inference
Control. Novel Approaches to Handle the Inference Problem. A Cloud-Based
Policy Manager for Assured Information Sharing. Security and Privacy with
Respect to Inference. Big Data Analytics and Inference Control. Unifying
Framework. Summary and Directions. Appendices: Data Management Systems,
Developments, and Trends. Database Management and Security.