|Title||A Resource-based Discretionary Access Control Model for Linked Datasets|
|Year of Publication||2012|
|Authors||Vinh Nguyen, Ramakanth Kavuluru, Olivier Bodenreider, Amit Sheth|
We present a resource-based discretionary access control model (RDAC) to protect the linked datasets published in the web. While many linked datasets follow an open access policy, many other datasets cannot be published without access restrictions or a required license. We protect linked datasets by restricting access to all the RDF resources of those datasets. We adopt the discretionary principle to allow the user inserting a resource to take full control over the resource. We also provide a mechanism that allows the user who owns or controls a resource to track how another user has obtained a specific access right on the resource. To our knowledge, RDAC is the first attempt to explore and combine the ideas of discretionary access control, resource level protection, and delegation tracking in a unified model. All access control data are also represented in RDF and can coexist seamlessly with regular data. We describe how RDAC is enforced during SPARQL query execution and provide a linear time algorithm to track delegation.
|Full Text|| |
Vinh Nguyen, Ramakanth Kavuluru, Olivier Bodenreider, Amit Sheth. A Resource-based Discretionary Access Control Model for Linked Datasets. Technical report, Wright State University, 2012.