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FENCE: Continuous access control enforcement in dynamic data stream environments

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3 Author(s)
Nehme, R.R.V. ; Microsoft Jim Gray Syst. Lab., Madison, WI, USA ; Hyo-Sang Lim ; Bertino, E.

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.

Published in:

Data Engineering (ICDE), 2010 IEEE 26th International Conference on

Date of Conference:

1-6 March 2010

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