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-stepapproach 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"--

Dettagli sul prodotto

• Autori: Bhavani (The University of Texas At Thuraisingham, Bhavani Thuraisingham, Tyrone Cadenhead, Murat Kantarcioglu, Vaibhav Khadilkar, Bhavani Cadenhead Thuraisingham, Thuraisingham Bhavani, Cadenhead Tyrone, Kantarcioglu Murat, Khadilkar Vaibhav
• Editore: Taylor & Francis Ltd.
• Lingue: Inglese
• Contenuto: Libro
• Forma del prodotto: Copertina rigida
• Data pubblicazione: 01.08.2014
• Categoria: Scienze naturali, medicina, informatica, tecnica > Informatica, EDP > Linguaggi di programmazione
• EAN: 9781466569430
• ISBN: 978-1-4665-6943-0
• Numero di pagine: 478
• Categorie: COMPUTERS / Security / General; Computer security