MULTI-LEVEL PRIVACY EVALUATION

摘要

An multi-level privacy evaluation technology is described for increasing the performance of applications or services that experience high volumes of queries for data with privacy attributes. The multi-level privacy evaluation technology evaluates data using a subset of privacy policy rules and privacy information determined for the data at a backend server and thereby reduces the volume of data that need to be filtered at a frontend server. The multi-level privacy evaluation technology first applies an initial privacy check on a large data set at the backend to authoritatively filter out any data that a viewing user is not permitted to view or access and return as results a smaller data set that the viewing user may be permitted to view or access. A full privacy check is then performed at the frontend on the smaller data set, resulting in reduction in the overall cost of performing privacy checks and reducing latency in displaying data to the viewing user.

主权项

1. A computer-implemented method, comprising:
detecting an action corresponding to creation of or updating of multiple data items; computing privacy values of the multiple data items; evaluating the privacy values of the multiple data items to organize the multiple data items into different categories; receiving a request initiated by a viewer to view a set of data items related to a user; and applying, in response to the request, a privacy check on the set of data items to filter out data items that the viewer is not permitted to view by selecting at least one of the different categories as a source for retrieving the set of data items.