Thuraisingham, Bhavani M., <br/><br/>
Secure data provenance and inference control with semantic web / 
Bhavani Thuraisingham, Tyrone Cadenhead, Murat Kantarcioglu, Vaibhav Khadilkar. 
 - 1 online resource 
<br/><br/>section 1. Supporting technologies -- section 2. Secure data provenance -- section 3. Inference control -- section 4. Unifying framework. 
<br/><br/> 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-- 
<br/><br/><label>ISBN: </label>9780429101953 
<br/><br/><label>Standard No.: </label>10.1201/b17258   doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Semantic web.<br/>Database security.<br/>Inference.<br/>Authentication.
<br/><br/><label>LC Class. No.: </label>TK5105.88815  / .T594 2014 
<br/><br/><label>Dewey Class. No.: </label>025.0427028558  / T536