Computer Science – Social and Information Networks
Scientific paper
2011-06-17
Computer Science
Social and Information Networks
VLDB2011
Scientific paper
Many applications, including provenance and some analyses of social networks, require path-based queries over graph-structured data. When these graphs contain sensitive information, paths may be broken, resulting in uninformative query results. This paper presents innovative techniques that give users more informative graph query results; the techniques leverage a common industry practice of providing what we call surrogates: alternate, less sensitive versions of nodes and edges releasable to a broader community. We describe techniques for interposing surrogate nodes and edges to protect sensitive graph components, while maximizing graph connectivity and giving users as much information as possible. In this work, we formalize the problem of creating a protected account G' of a graph G. We provide a utility measure to compare the informativeness of alternate protected accounts and an opacity measure for protected accounts, which indicates the likelihood that an attacker can recreate the topology of the original graph from the protected account. We provide an algorithm to create a maximally useful protected account of a sensitive graph, and show through evaluation with the PLUS prototype that using surrogates and protected accounts adds value for the user, with no significant impact on the time required to generate results for graph queries.
Allen David M.
Blaustein Barbara
Chapman Adriane
Rosenthal A. A.
Seligman Len
No associations
LandOfFree
Surrogate Parenthood: Protected and Informative Graphs does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Surrogate Parenthood: Protected and Informative Graphs, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Surrogate Parenthood: Protected and Informative Graphs will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-696303