Securing Information Flows: A Metadata Framework
Authors
Mudhakar Srivatsa, Pankaj Rohatgi, Shane Balfe and Steffen Reidt
Abstract
Recently, risk-based information trading has emerged as a new paradigm for securely sharing information across traditional organizational boundaries. In this paradigm, the risk of sharing information between organizations is characterized using expected losses (due, for example, to (un)intended information disclosure) and billed to a recipient. However, within risk-based information trading systems, quantifying the risks associated with sharing information is a non-trivial task, particularly when risk calculations depend on a number of factors. In this paper we introduce a data-centric metadata framework that extends risk-based information trading approaches by allowing one or more domains to exchange sensitive information based on metadata evaluated against internal risk assessments of the domains. We present a use case of our metadata framework using a coalition military scenario, wherein information flows can be controlled and regulated by our framework whilst allowing sufficiently high-quality tactical information to be disseminated
Publication Date
September, 2008
Venue
1st IEEE Workshop on Quality of Information (QoI) for Sensor Networks.
Published To
Conference
Publication Type
Externally published
ITA Area
Project 5, Technical area 2
Download a copy of the paper here
sif-metadataFinal.pdf
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