2013 IEEE 29th International Conference on Data Engineering (ICDE) (2010)
Long Beach, CA, USA
Mar. 1, 2010 to Mar. 6, 2010
Hyo-Sang Lim , Purdue University, West Lafayette, IN 47907 USA
Rimma V. Nehme , Microsoft Jim Gray Systems Lab, Madison, WI 53703 USA
Elisa Bertino , Purdue University, West Lafayette, IN 47907 USA
In this paper, we present FENCE framework that addresses the problem of continuous access control enforcement in dynamic data stream environments. The distinguishing characteristics of FENCE include: (1) the stream-centric approach to security, (2) the symmetric modeling of security for both continuous queries and streaming data, and (3) security-aware query processing that considers both regular and security-related selectivities. In FENCE, both data and query security restrictions are modeled in the form of streaming security metadata, called “security punctuations”, embedded inside data streams. We have implemented FENCE in a prototype DSMS and briefly summarize our performance observations.
Hyo-Sang Lim, Rimma V. Nehme, Elisa Bertino, "FENCE: Continuous access control enforcement in dynamic data stream environments", 2013 IEEE 29th International Conference on Data Engineering (ICDE), vol. 00, no. , pp. 940-943, 2010, doi:10.1109/ICDE.2010.5447899