Paper Info
Title
Towards fine grained RDF access control
Abstract
The Semantic Web is envisioned as the future of the current web, where the information is enriched with machine understandable semantics. According to the World Wide Web Consortium (W3C), \"The Semantic Web provides a common framework that allows data to be shared and reused across application, enterprise, and community boundaries\". Among the various technologies that empower Semantic Web, the most significant ones are Resource Description Framework (RDF) and SPARQL, which facilitate data integration and a means to query respectively. Although Semantic Web is elegantly and effectively equipped for data sharing and integration via RDF, lack of efficient means to securely share data pose limitations in practice. In order to make data sharing and integration pragmatic for Semantic Web, we present a query language based secure data sharing mechanism. We extend SPARQL with a new query form called SANITIZE which comprises a set of sanitization operations that are used to sanitize or mask sensitive data within an RDF graph. The sanitization operations can be further leveraged towards RDF access control and anonymization, thus enabling secure sharing of RDF data.
Year
DOI
Venue
2014
10.1145/2613087.2613092
SACMAT
Keywords
Field
DocType
rdf,security,sanitization,data types and structures,access controls,sparql,access control
Data mining,RDF query language,World Wide Web,Semantic Web Stack,Computer science,Linked data,Semantic Web,SPARQL,Social Semantic Web,RDF Schema,RDF/XML
Conference
Citations 
PageRank 
References 
2
0.42
13
Authors
4
Name
Order
Citations
PageRank
Jyothsna Rachapalli1102.96
Vaibhav Khadilkar28912.04
Murat Kantarcioglu32470168.03
Bhavani M. Thuraisingham42587282.14