Enforcing Secure and Privacy-Preserving Information Brokering in Distributed Information Sharing
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Year of Project2013
Enforcing Secure and Privacy-Preserving Information Brokering in Distributed Information Sharing IEEE Projects 2013 | Final year projects | BE Projects | Abstract: Today’s organizations raise an increasing need for information sharing via on-demand access. Information brokering systems (IBSs) have been proposed to connect large-scale loosely federated data sources via a brokering overlay, in which the brokers make routing decisions to direct client queries to the requested data servers. Many existing IBSs assume that brokers are trusted and thus only adopt server-side access control for data confidentiality. However, privacy of data location and data consumer can still be inferred from metadata (such as query and access control rules) exchanged within the IBS, but little attention has been put on its protection. In this paper, we propose a novel approach to preserve privacy of multiple stakeholders involved in the information brokering process. We are among the first to formally define two privacy attacks, namely attribute-correlation attack and inference attack, and propose two countermeasure schemes automaton segmentation and query segment encryption to securely share the routing decision-making responsibility among a selected set of brokering servers. With comprehensive security analysis and experimental results, we show that our approach seamlessly integrates security enforcement with query routing to provide system-wide security with insignificant overhead.
Enforcing Secure and Privacy-Preserving Information Brokering in Distributed Information Sharing. Along with the explosion of information collected by organizations in many realms ranging from business to government agencies, there is an increasing need for inter-organizational information sharing to facilitate extensive collaboration. While many efforts have been devoted to reconcile data heterogeneity and provide interoperability, the problem of balancing peer autonomy and system coalition is still challenging. Most of the existing systems work on two extremes of the spectrum, adopting either the query-answering model to establish pairwise client-server connections for on-demand information access, where peers are fully autonomous but there lacks systemwide coordination, or the distributed database model, where all
peers with little autonomy are managed by a unified DBMS. Unfortunately, neither model is suitable for many newly emerged applications, such as healthcare or law enforcement information sharing, in which organizations share information in a conservative and controlled manner due to business considerations or legal reasons. Take healthcare information systems as example. Regional Health Information Organization.
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